Highways5
Several authors
Created: 12-04-2024. Last modified: 21-05-2024.
Let us set some global options for all code chunks in this document.
knitr::opts_chunk$set(
message = FALSE, # Disable messages printed by R code chunks
warning = FALSE, # Disable warnings printed by R code chunks
echo = TRUE, # Show R code within code chunks in output
include = TRUE, # Include both R code and its results in output
eval = TRUE, # Evaluate R code chunks
cache = FALSE, # Enable caching of R code chunks for faster rendering
fig.align = "center",
out.width = "100%",
retina = 2,
error = TRUE,
collapse = TRUE
)
rm(list = ls())
set.seed(1982)1 Preprocessing
Let us now load some required libraries.
# Load required libraries
# inla.upgrade(testing = TRUE)
# remotes::install_github("inlabru-org/inlabru", ref = "devel")
# remotes::install_github("davidbolin/rspde", ref = "devel")
# remotes::install_github("davidbolin/metricgraph", ref = "devel")
# remotes::install_github("davidbolin/ngme2", ref = "devel")
library(INLA)
#inla.setOption(num.threads = 7)
library(inlabru)
library(rSPDE)
library(MetricGraph)
library(ngme2)
library(plotly)
library(dplyr)
library(sf)
library(here)Function standarize() below is later used to standardize
the covariate SpeedLimit.
To keep track of the changes, we provide summaries of every new created object. Those summaries can be accessed by pressing the Show buttons below
We load the graph object sf_graph (which only contains
weights) and the data (already graph-processed).
timeallprocedure <- Sys.time()
load(here("Graph_objects/graph_construction_19MAY24_FRC0134.RData"))
load(here("Data_files/data_day7142128_hour13_with_no_consecutive_zeros_19MAY24_FRC0134_graph_processed.RData"))
data_on_graph = data_on_graph %>%
dplyr::select(-datetime)We check the units of the graph.
sf_graph$get_edge_lengths() %>% head() %>% capture.output() %>% grep("^Units:", ., value = TRUE)
## [1] "Units: [km]"summary(sf_graph)
## A metric graph object with:
##
## Vertices:
## Total: 8781
## Degree 1: 15; Degree 2: 6409; Degree 3: 343; Degree 4: 1842; Degree 5: 58;
## Degree 6: 111; Degree 7: 2; Degree 8: 1;
## With incompatible directions: 0
##
## Edges:
## Total: 11104
## Lengths:
## Min: 0.00283468 ; Max: 1.480513 ; Total: 505.6148
## Weights:
## Columns: Length FRC SpeedLimit StreetName harmonicAverageSpeed medianSpeed averageSpeed sampleSize averageTravelTime medianTravelTime travelTimeRatio List_Number 5percentile 10percentile 15percentile 20percentile 25percentile 30percentile 35percentile 40percentile 45percentile 50percentile 55percentile 60percentile 65percentile 70percentile 75percentile 80percentile 85percentile 90percentile 95percentile road_type class_4 class_0 class_3 class_1 upto1 upto3 upto4 density density_per_hour
## That are circles: 0
##
## Graph units:
## Vertices unit: degrees ; Lengths unit: km
##
## Longitude and Latitude coordinates: TRUE
## Which spatial package: sf
## CRS: EPSG:4326
##
## Some characteristics of the graph:
## Connected: TRUE
## Has loops: FALSE
## Has multiple edges: TRUE
## Is a tree: FALSE
## Distance consistent: FALSE
## Has Euclidean edges: FALSE
##
## Computed quantities inside the graph:
## Laplacian: FALSE ; Geodesic distances: TRUE
## Resistance distances: FALSE ; Finite element matrices: FALSE
##
## Mesh: The graph has no mesh!
##
## Data: The graph has no data!
##
## Tolerances:
## vertex-vertex: 0.001
## vertex-edge: 0.001
## edge-edge: 0
summary(data_on_graph)
## ID speed day .distance_to_graph
## Min. :5701 Min. : 0.000 Min. :1.00 Min. :0.000000
## 1st Qu.:6592 1st Qu.: 1.609 1st Qu.:2.00 1st Qu.:0.001832
## Median :6712 Median : 17.703 Median :3.00 Median :0.004032
## Mean :7378 Mean : 20.107 Mean :2.55 Mean :0.004937
## 3rd Qu.:8739 3rd Qu.: 30.577 3rd Qu.:4.00 3rd Qu.:0.006952
## Max. :8969 Max. :114.263 Max. :4.00 Max. :0.019993
## .edge_number .distance_on_edge .group .coord_x
## Min. : 1 Min. :0.0000 Length:75899 Min. :-122.5
## 1st Qu.: 2347 1st Qu.:0.2586 Class :character 1st Qu.:-122.4
## Median : 4733 Median :0.5133 Mode :character Median :-122.4
## Mean : 4968 Mean :0.5067 Mean :-122.4
## 3rd Qu.: 7639 3rd Qu.:0.7609 3rd Qu.:-122.4
## Max. :11104 Max. :1.0000 Max. :-122.4
## .coord_y
## Min. :37.70
## 1st Qu.:37.74
## Median :37.77
## Mean :37.76
## 3rd Qu.:37.78
## Max. :37.81The following commands remove zero speed observations that are 1m away from the graph, and after that, they remove any speed observations that are 3m away from the graph.
to_remove = data_on_graph %>%
filter(speed == 0, .distance_to_graph > 0.001)
data_on_graph = setdiff(data_on_graph, to_remove) %>%
filter(.distance_to_graph <= 0.003)summary(to_remove)
## ID speed day .distance_to_graph .edge_number
## Min. :5701 Min. :0 Min. :1.000 Min. :0.001000 Min. : 1
## 1st Qu.:6588 1st Qu.:0 1st Qu.:2.000 1st Qu.:0.003133 1st Qu.: 2390
## Median :6702 Median :0 Median :3.000 Median :0.005536 Median : 4646
## Mean :7312 Mean :0 Mean :2.556 Mean :0.006552 Mean : 4912
## 3rd Qu.:8713 3rd Qu.:0 3rd Qu.:4.000 3rd Qu.:0.008880 3rd Qu.: 7550
## Max. :8969 Max. :0 Max. :4.000 Max. :0.019988 Max. :11096
## .distance_on_edge .group .coord_x .coord_y
## Min. :0.0000 Length:15402 Min. :-122.5 Min. :37.70
## 1st Qu.:0.2888 Class :character 1st Qu.:-122.4 1st Qu.:37.74
## Median :0.5322 Mode :character Median :-122.4 Median :37.77
## Mean :0.5156 Mean :-122.4 Mean :37.76
## 3rd Qu.:0.7568 3rd Qu.:-122.4 3rd Qu.:37.78
## Max. :1.0000 Max. :-122.4 Max. :37.81
summary(data_on_graph)
## ID speed day .distance_to_graph
## Min. :5701 Min. : 0.00 Min. :1.000 Min. :0.0000000
## 1st Qu.:6589 1st Qu.: 12.87 1st Qu.:2.000 1st Qu.:0.0005897
## Median :6728 Median : 24.14 Median :3.000 Median :0.0012698
## Mean :7485 Mean : 25.98 Mean :2.542 Mean :0.0013554
## 3rd Qu.:8769 3rd Qu.: 35.41 3rd Qu.:4.000 3rd Qu.:0.0020959
## Max. :8969 Max. :114.26 Max. :4.000 Max. :0.0029999
## .edge_number .distance_on_edge .group .coord_x
## Min. : 1 Min. :0.0000 Length:25843 Min. :-122.5
## 1st Qu.: 2078 1st Qu.:0.2631 Class :character 1st Qu.:-122.5
## Median : 4558 Median :0.5218 Mode :character Median :-122.4
## Mean : 4839 Mean :0.5137 Mean :-122.4
## 3rd Qu.: 7548 3rd Qu.:0.7700 3rd Qu.:-122.4
## Max. :11104 Max. :0.9998 Max. :-122.4
## .coord_y
## Min. :37.70
## 1st Qu.:37.74
## Median :37.76
## Mean :37.76
## 3rd Qu.:37.78
## Max. :37.81We add data to the graph.
sf_graph$get_data()
## # A tibble: 25,842 × 9
## ID speed day .distance_to_graph .coord_x .coord_y .edge_number
## <int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 8969 99.8 1 0.000426 -122. 37.7 2
## 2 6588 91.7 1 0.00206 -122. 37.7 2
## 3 8848 99.8 1 0.00256 -122. 37.7 2
## 4 6677 14.5 1 0.000436 -122. 37.8 3
## 5 6532 16.1 1 0.00226 -122. 37.8 3
## 6 6686 25.7 1 0.000499 -122. 37.8 3
## 7 6570 17.7 1 0.00252 -122. 37.8 5
## 8 6677 29.0 1 0.00222 -122. 37.8 6
## 9 6657 24.1 1 0.00203 -122. 37.8 6
## 10 6576 17.7 1 0.000274 -122. 37.8 6
## # ℹ 25,832 more rows
## # ℹ 2 more variables: .distance_on_edge <dbl>, .group <chr>
summary(sf_graph)
## A metric graph object with:
##
## Vertices:
## Total: 8781
## Degree 1: 15; Degree 2: 6409; Degree 3: 343; Degree 4: 1842; Degree 5: 58;
## Degree 6: 111; Degree 7: 2; Degree 8: 1;
## With incompatible directions: 0
##
## Edges:
## Total: 11104
## Lengths:
## Min: 0.00283468 ; Max: 1.480513 ; Total: 505.6148
## Weights:
## Columns: Length FRC SpeedLimit StreetName harmonicAverageSpeed medianSpeed averageSpeed sampleSize averageTravelTime medianTravelTime travelTimeRatio List_Number 5percentile 10percentile 15percentile 20percentile 25percentile 30percentile 35percentile 40percentile 45percentile 50percentile 55percentile 60percentile 65percentile 70percentile 75percentile 80percentile 85percentile 90percentile 95percentile road_type class_4 class_0 class_3 class_1 upto1 upto3 upto4 density density_per_hour
## That are circles: 0
##
## Graph units:
## Vertices unit: degrees ; Lengths unit: km
##
## Longitude and Latitude coordinates: TRUE
## Which spatial package: sf
## CRS: EPSG:4326
##
## Some characteristics of the graph:
## Connected: TRUE
## Has loops: FALSE
## Has multiple edges: TRUE
## Is a tree: FALSE
## Distance consistent: FALSE
## Has Euclidean edges: FALSE
##
## Computed quantities inside the graph:
## Laplacian: FALSE ; Geodesic distances: TRUE
## Resistance distances: FALSE ; Finite element matrices: FALSE
##
## Mesh: The graph has no mesh!
##
## Data:
## Columns: ID speed day
## Groups: .group
##
## Tolerances:
## vertex-vertex: 0.001
## vertex-edge: 0.001
## edge-edge: 0We get the values of the weights at data locations. This essentially gives us covariates from the weights.
sf_graph$get_data()
## # A tibble: 101,616 × 50
## ID speed day .distance_to_graph Length FRC SpeedLimit StreetName
## <int> <dbl> <dbl> <dbl> <dbl> <chr> <dbl> <chr>
## 1 NA NA NA NA 0.0826 4 40 16th St
## 2 NA NA NA NA 0.0826 4 40 16th St
## 3 NA NA NA NA 0.0826 4 40 16th St
## 4 NA NA NA NA 0.0826 4 40 16th St
## 5 8969 99.8 1 0.000426 0.137 0 105 I-280 N
## 6 6588 91.7 1 0.00206 0.137 0 105 I-280 N
## 7 8848 99.8 1 0.00256 0.137 0 105 I-280 N
## 8 NA NA NA NA 0.137 0 105 I-280 N
## 9 NA NA NA NA 0.137 0 105 I-280 N
## 10 NA NA NA NA 0.137 0 105 I-280 N
## # ℹ 101,606 more rows
## # ℹ 42 more variables: harmonicAverageSpeed <dbl>, medianSpeed <dbl>,
## # averageSpeed <dbl>, sampleSize <int>, averageTravelTime <dbl>,
## # medianTravelTime <dbl>, travelTimeRatio <dbl>, List_Number <int>,
## # `5percentile` <int>, `10percentile` <int>, `15percentile` <int>,
## # `20percentile` <int>, `25percentile` <int>, `30percentile` <int>,
## # `35percentile` <int>, `40percentile` <int>, `45percentile` <int>, …
summary(sf_graph)
## A metric graph object with:
##
## Vertices:
## Total: 8781
## Degree 1: 15; Degree 2: 6409; Degree 3: 343; Degree 4: 1842; Degree 5: 58;
## Degree 6: 111; Degree 7: 2; Degree 8: 1;
## With incompatible directions: 0
##
## Edges:
## Total: 11104
## Lengths:
## Min: 0.00283468 ; Max: 1.480513 ; Total: 505.6148
## Weights:
## Columns: Length FRC SpeedLimit StreetName harmonicAverageSpeed medianSpeed averageSpeed sampleSize averageTravelTime medianTravelTime travelTimeRatio List_Number 5percentile 10percentile 15percentile 20percentile 25percentile 30percentile 35percentile 40percentile 45percentile 50percentile 55percentile 60percentile 65percentile 70percentile 75percentile 80percentile 85percentile 90percentile 95percentile road_type class_4 class_0 class_3 class_1 upto1 upto3 upto4 density density_per_hour
## That are circles: 0
##
## Graph units:
## Vertices unit: degrees ; Lengths unit: km
##
## Longitude and Latitude coordinates: TRUE
## Which spatial package: sf
## CRS: EPSG:4326
##
## Some characteristics of the graph:
## Connected: TRUE
## Has loops: FALSE
## Has multiple edges: TRUE
## Is a tree: FALSE
## Distance consistent: FALSE
## Has Euclidean edges: FALSE
##
## Computed quantities inside the graph:
## Laplacian: FALSE ; Geodesic distances: TRUE
## Resistance distances: FALSE ; Finite element matrices: FALSE
##
## Mesh: The graph has no mesh!
##
## Data:
## Columns: ID speed day Length FRC SpeedLimit StreetName harmonicAverageSpeed medianSpeed averageSpeed sampleSize averageTravelTime medianTravelTime travelTimeRatio List_Number 5percentile 10percentile 15percentile 20percentile 25percentile 30percentile 35percentile 40percentile 45percentile 50percentile 55percentile 60percentile 65percentile 70percentile 75percentile 80percentile 85percentile 90percentile 95percentile road_type class_4 class_0 class_3 class_1 upto1 upto3 upto4 density density_per_hour
## Groups: .group
##
## Tolerances:
## vertex-vertex: 0.001
## vertex-edge: 0.001
## edge-edge: 0When running
sf_graph$edgeweight_to_data(data_loc = TRUE), some
NA values are created (because the data is grouped). We
remove them below. We also standardize the SpeedLimit
covariate.
data = sf_graph$get_data() %>%
drop_na(-StreetName) %>% # this drops all rows with at least one NA value but without taking into account StreetName
mutate(across(c("SpeedLimit"), ~standardize(.))) %>%
dplyr::select(speed, SpeedLimit)The code of chunk below was executed only one time.
{r, eval = FALSE}
aux = data |>
rename(distance_on_edge = .distance_on_edge, edge_number = .edge_number) |>
as.data.frame() |>
dplyr::select(edge_number, distance_on_edge, .group)
distmatrixlist = list()
for (i in 1:4) {
distmatrixlist[[i]] = sf_graph$compute_geodist_PtE(PtE = aux %>%
filter(.group == as.character(i)) %>%
dplyr::select(-.group),
normalized = TRUE,
include_vertices = FALSE)
}
save(distmatrixlist, file = here("Models_output/distmatrixfixed_19May24.RData"))The code of chunk above was executed only one time.
summary(data)
## speed SpeedLimit .group .edge_number
## Min. : 0.00 Min. :-2.0263 Length:25842 Min. : 1
## 1st Qu.: 12.87 1st Qu.:-0.4784 Class :character 1st Qu.: 2078
## Median : 24.14 Median :-0.4784 Mode :character Median : 4558
## Mean : 25.98 Mean : 0.0000 Mean : 4839
## 3rd Qu.: 35.41 3rd Qu.: 0.0844 3rd Qu.: 7548
## Max. :114.26 Max. : 4.0947 Max. :11104
## .distance_on_edge .coord_x .coord_y
## Min. :0.0000 Min. :-122.5 Min. :37.70
## 1st Qu.:0.2631 1st Qu.:-122.5 1st Qu.:37.74
## Median :0.5218 Median :-122.4 Median :37.76
## Mean :0.5137 Mean :-122.4 Mean :37.76
## 3rd Qu.:0.7700 3rd Qu.:-122.4 3rd Qu.:37.78
## Max. :0.9998 Max. :-122.4 Max. :37.81We add the data again but now with the new standardized
SpeedLimit covariate.
sf_graph$get_data()
## # A tibble: 25,842 × 7
## speed SpeedLimit .coord_x .coord_y .edge_number .distance_on_edge .group
## <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <chr>
## 1 99.8 4.09 -122. 37.7 2 0.195 1
## 2 91.7 4.09 -122. 37.7 2 0.227 1
## 3 99.8 4.09 -122. 37.7 2 0.363 1
## 4 14.5 -1.04 -122. 37.8 3 0.309 1
## 5 16.1 -1.04 -122. 37.8 3 0.583 1
## 6 25.7 -1.04 -122. 37.8 3 0.925 1
## 7 17.7 -1.04 -122. 37.8 5 0.0567 1
## 8 29.0 -1.04 -122. 37.8 6 0.129 1
## 9 24.1 -1.04 -122. 37.8 6 0.612 1
## 10 17.7 -1.04 -122. 37.8 6 0.755 1
## # ℹ 25,832 more rows
summary(sf_graph)
## A metric graph object with:
##
## Vertices:
## Total: 8781
## Degree 1: 15; Degree 2: 6409; Degree 3: 343; Degree 4: 1842; Degree 5: 58;
## Degree 6: 111; Degree 7: 2; Degree 8: 1;
## With incompatible directions: 0
##
## Edges:
## Total: 11104
## Lengths:
## Min: 0.00283468 ; Max: 1.480513 ; Total: 505.6148
## Weights:
## Columns: Length FRC SpeedLimit StreetName harmonicAverageSpeed medianSpeed averageSpeed sampleSize averageTravelTime medianTravelTime travelTimeRatio List_Number 5percentile 10percentile 15percentile 20percentile 25percentile 30percentile 35percentile 40percentile 45percentile 50percentile 55percentile 60percentile 65percentile 70percentile 75percentile 80percentile 85percentile 90percentile 95percentile road_type class_4 class_0 class_3 class_1 upto1 upto3 upto4 density density_per_hour
## That are circles: 0
##
## Graph units:
## Vertices unit: degrees ; Lengths unit: km
##
## Longitude and Latitude coordinates: TRUE
## Which spatial package: sf
## CRS: EPSG:4326
##
## Some characteristics of the graph:
## Connected: TRUE
## Has loops: FALSE
## Has multiple edges: TRUE
## Is a tree: FALSE
## Distance consistent: FALSE
## Has Euclidean edges: FALSE
##
## Computed quantities inside the graph:
## Laplacian: FALSE ; Geodesic distances: TRUE
## Resistance distances: FALSE ; Finite element matrices: FALSE
##
## Mesh: The graph has no mesh!
##
## Data:
## Columns: speed SpeedLimit
## Groups: .group
##
## Tolerances:
## vertex-vertex: 0.001
## vertex-edge: 0.001
## edge-edge: 0We build a mesh.
summary(sf_graph)
## A metric graph object with:
##
## Vertices:
## Total: 8781
## Degree 1: 15; Degree 2: 6409; Degree 3: 343; Degree 4: 1842; Degree 5: 58;
## Degree 6: 111; Degree 7: 2; Degree 8: 1;
## With incompatible directions: 0
##
## Edges:
## Total: 11104
## Lengths:
## Min: 0.00283468 ; Max: 1.480513 ; Total: 505.6148
## Weights:
## Columns: Length FRC SpeedLimit StreetName harmonicAverageSpeed medianSpeed averageSpeed sampleSize averageTravelTime medianTravelTime travelTimeRatio List_Number 5percentile 10percentile 15percentile 20percentile 25percentile 30percentile 35percentile 40percentile 45percentile 50percentile 55percentile 60percentile 65percentile 70percentile 75percentile 80percentile 85percentile 90percentile 95percentile road_type class_4 class_0 class_3 class_1 upto1 upto3 upto4 density density_per_hour
## That are circles: 0
##
## Graph units:
## Vertices unit: degrees ; Lengths unit: km
##
## Longitude and Latitude coordinates: TRUE
## Which spatial package: sf
## CRS: EPSG:4326
##
## Some characteristics of the graph:
## Connected: TRUE
## Has loops: FALSE
## Has multiple edges: TRUE
## Is a tree: FALSE
## Distance consistent: FALSE
## Has Euclidean edges: FALSE
##
## Computed quantities inside the graph:
## Laplacian: FALSE ; Geodesic distances: TRUE
## Resistance distances: FALSE ; Finite element matrices: FALSE
##
## Mesh:
## Max h_e: 0.04999869 ; Min n_e: 0
##
## Data:
## Columns: speed SpeedLimit
## Groups: .group
##
## Tolerances:
## vertex-vertex: 0.001
## vertex-edge: 0.001
## edge-edge: 0We get the value of the weights at mesh locations. This will allow us
to built matrices B.sigma and B.range below.
Again,
sf_graph$edgeweight_to_data(mesh = TRUE, add = FALSE, return = TRUE)
creates repeated information (because the data is grouped). We fix that
by filtering one group. We also standardize the SpeedLimit
covariate.
mesh = sf_graph$edgeweight_to_data(mesh = TRUE,
add = FALSE,
return = TRUE) %>%
filter(.group == 1) %>%
mutate(across(c("SpeedLimit"), ~standardize(.))) %>%
dplyr:::select.data.frame(SpeedLimit)summary(mesh)
## SpeedLimit
## Min. :-1.91072
## 1st Qu.:-0.76409
## Median :-0.34714
## Mean : 0.00000
## 3rd Qu.: 0.06981
## Max. : 2.623661.1 Stationary model
- Observe that we are considering replicates.
stat.time.ini <- Sys.time()
################################################################################
################################# STATIONARY MODEL #############################
################################################################################
rspde_model_stat <- rspde.metric_graph(sf_graph,
parameterization = "matern",
nu = 0.5)str(rspde_model_stat)
## List of 21
## $ f :List of 3
## ..$ model : chr "cgeneric"
## ..$ n : int 13932
## ..$ cgeneric:List of 5
## .. ..$ model: chr "inla_cgeneric_rspde_stat_int_model"
## .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. ..$ n : int 13932
## .. ..$ debug: logi FALSE
## .. ..$ data :List of 5
## .. .. ..$ ints :List of 5
## .. .. .. ..$ n : int 13932
## .. .. .. ..$ debug : int 0
## .. .. .. ..$ m_alpha : int 1
## .. .. .. ..$ graph_opt_i: int [1:29068] 0 0 0 0 1 1 1 1 1 2 ...
## .. .. .. ..$ graph_opt_j: int [1:29068] 0 5681 8781 11463 1 8781 11429 11463 13882 2 ...
## .. .. ..$ doubles :List of 4
## .. .. .. ..$ matrices_less : num [1:58136] 0.0534 0 0 0 0.0776 ...
## .. .. .. ..$ theta.prior.mean: num [1:2] 0 1.35
## .. .. .. ..$ start.theta : num [1:2] 0 1.35
## .. .. .. ..$ nu : num 0.5
## .. .. ..$ characters:List of 4
## .. .. .. ..$ model : chr "inla_cgeneric_rspde_stat_int_model"
## .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. ..$ parameterization : chr "matern"
## .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. ..$ matrices :List of 1
## .. .. .. ..$ theta.prior.prec: num [1:6] 2 2 0.1 0 0 0.1
## .. .. ..$ smatrices : list()
## .. ..- attr(*, "class")= chr "inla.cgeneric"
## $ cgeneric_type : chr "int_alpha"
## $ nu : num 0.5
## $ theta.prior.mean : num [1:2] 0 1.35
## $ prior.nu :List of 4
## ..$ loglocation: num -5e-06
## ..$ mean : num 1
## ..$ prec : num 3
## ..$ logscale : num 1
## $ theta.prior.prec : num [1:2, 1:2] 0.1 0 0 0.1
## $ start.nu : num 0.5
## $ integer.nu : logi TRUE
## $ start.theta : num [1:2] 0 1.35
## $ stationary : logi TRUE
## $ rspde.order : num 2
## $ dim : num 1
## $ est_nu : logi FALSE
## $ nu.upper.bound : num 2
## $ prior.nu.dist : chr "lognormal"
## $ debug : logi FALSE
## $ type.rational.approx: chr "chebfun"
## $ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 5 7 9 9 10 12 13 14 15 12 18 19 21 20 22 24 26 28 30 ...
## edge_lengths: 0.0820202978316493 0.13610246403764 0.07378151878521 0.0 ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 11104
## nV: 8781
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.40171 -122.40078 -122.44449 -122.44331 -122.41216 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 5502 2 359 3 4077 4 5117 5 7 5419 8 9 10 11 4817 4613 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## $ fem_mesh :List of 4
## ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:13932] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. ..@ j : int [1:13932] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:13932] 0.0534 0.0776 0.0408 0.0457 0.0367 ...
## .. .. ..@ factors : list()
## ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:44204] 0 5681 8781 11463 1 8781 11429 11463 13882 2 ...
## .. .. ..@ p : int [1:13933] 0 4 9 12 15 18 23 26 29 34 ...
## .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:44204] 210.6 -161.9 -24.4 -24.4 103.4 ...
## .. .. ..@ factors : list()
## ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:81554] 0 1 5399 5681 8781 11463 0 1 4450 8781 ...
## .. .. ..@ p : int [1:13933] 0 6 13 18 23 28 37 42 47 56 ...
## .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:81554] 1731368 28997 607384 -2117274 -125237 ...
## .. .. ..@ factors : list()
## ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:124984] 0 1 805 5399 5681 8781 11429 11463 13882 0 ...
## .. .. ..@ p : int [1:13933] 0 9 18 25 32 43 56 65 72 85 ...
## .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:124984] 1.84e+10 1.88e+08 -4.79e+08 9.57e+09 -2.57e+10 ...
## .. .. ..@ factors : list()
## $ parameterization : chr "matern"
## $ n.spde : int 13932
## - attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"str(data_rspde_bru_stat)
## List of 4
## $ data :List of 8
## ..$ speed : num [1:25842] 99.8 91.7 99.8 14.5 16.1 ...
## ..$ SpeedLimit : num [1:25842] 4.09 4.09 4.09 -1.04 -1.04 ...
## ..$ .coord_x : num [1:25842] -122 -122 -122 -122 -122 ...
## ..$ .coord_y : num [1:25842] 37.7 37.7 37.7 37.8 37.8 ...
## ..$ .edge_number : num [1:25842] 2 2 2 3 3 3 5 6 6 6 ...
## ..$ .distance_on_edge: num [1:25842] 0.195 0.227 0.363 0.309 0.583 ...
## ..$ .group : chr [1:25842] "1" "1" "1" "1" ...
## ..$ loc : num [1:25842, 1:2] 2 2 2 3 3 3 5 6 6 6 ...
## ..- attr(*, "class")= chr [1:2] "metric_graph_data" "list"
## $ index:List of 3
## ..$ field : int [1:55728] 1 2 3 4 5 6 7 8 9 10 ...
## ..$ field.group: int [1:55728] 1 1 1 1 1 1 1 1 1 1 ...
## ..$ field.repl : int [1:55728] 1 1 1 1 1 1 1 1 1 1 ...
## ..- attr(*, "class")= chr [1:2] "inla_rspde_index" "list"
## ..- attr(*, "rspde.order")= num 0
## ..- attr(*, "integer_nu")= logi TRUE
## ..- attr(*, "n.mesh")= int 13932
## ..- attr(*, "name")= chr "field"
## ..- attr(*, "n.group")= int 1
## ..- attr(*, "n.repl")= int 4
## $ repl : chr [1:25842] "1" "1" "1" "1" ...
## $ basis:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. ..@ i : int [1:51684] 0 1 3 8 9 10 11 12 13 14 ...
## .. ..@ p : int [1:55729] 0 0 0 2 2 10 16 16 16 21 ...
## .. ..@ Dim : int [1:2] 25842 55728
## .. ..@ Dimnames:List of 2
## .. .. ..$ : NULL
## .. .. ..$ : NULL
## .. ..@ x : num [1:51684] 0.416 0.319 0.382 0.224 0.509 ...
## .. ..@ factors : list()cmp_stat = speed ~ -1 +
Intercept(1) +
SpeedLimit +
field(loc, model = rspde_model_stat,
replicate = data_rspde_bru_stat[["repl"]])
rspde_fit_stat <-
bru(cmp_stat,
data = data_rspde_bru_stat[["data"]],
family = "T",
options = list(verbose = FALSE)
)str(rspde_fit_stat)
## List of 56
## $ names.fixed : chr [1:2] "Intercept" "SpeedLimit"
## $ summary.fixed :'data.frame': 2 obs. of 7 variables:
## ..$ mean : num [1:2] 29.55 7.25
## ..$ sd : num [1:2] 0.28 0.184
## ..$ 0.025quant: num [1:2] 29 6.88
## ..$ 0.5quant : num [1:2] 29.55 7.25
## ..$ 0.975quant: num [1:2] 30.1 7.61
## ..$ mode : num [1:2] 29.55 7.25
## ..$ kld : num [1:2] 9.53e-11 1.20e-09
## $ marginals.fixed :List of 2
## ..$ Intercept : num [1:43, 1:2] 28.4 28.5 28.7 28.9 29 ...
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## ..$ SpeedLimit: num [1:43, 1:2] 6.46 6.56 6.67 6.82 6.88 ...
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## $ summary.lincomb :'data.frame': 0 obs. of 0 variables
## $ marginals.lincomb : NULL
## $ size.lincomb : NULL
## $ summary.lincomb.derived :'data.frame': 0 obs. of 0 variables
## $ marginals.lincomb.derived : NULL
## $ size.lincomb.derived : NULL
## $ mlik : num [1:2, 1] -104206 -104203
## ..- attr(*, "dimnames")=List of 2
## .. ..$ : chr [1:2] "log marginal-likelihood (integration)" "log marginal-likelihood (Gaussian)"
## .. ..$ : NULL
## $ cpo :List of 3
## ..$ cpo : logi(0)
## ..$ pit : logi(0)
## ..$ failure: logi(0)
## $ gcpo :List of 5
## ..$ gcpo : NULL
## ..$ kld : NULL
## ..$ mean : NULL
## ..$ sd : NULL
## ..$ groups: NULL
## $ po :List of 1
## ..$ po: num [1:25842] 0.0306 0.0358 0.0325 0.0377 0.0354 ...
## $ waic :List of 4
## ..$ waic : num 200656
## ..$ p.eff : num 5859
## ..$ local.waic : num [1:25842] 7.29 6.78 7.15 6.61 6.82 ...
## ..$ local.p.eff: num [1:25842] 0.1593 0.0587 0.1482 0.0266 0.0686 ...
## $ residuals :List of 1
## ..$ deviance.residuals: num [1:25842] 0 -0.602 0 0.489 -0.63 ...
## $ model.random : chr "CGeneric"
## $ summary.random :List of 1
## ..$ field:'data.frame': 55728 obs. of 8 variables:
## .. ..$ ID : num [1:55728] 1 2 3 4 5 6 7 8 9 10 ...
## .. ..$ mean : num [1:55728] -4.92 -2.61 31.08 29.16 -11.36 ...
## .. ..$ sd : num [1:55728] 11.67 12 8.74 13.96 4.82 ...
## .. ..$ 0.025quant: num [1:55728] -27.79 -26.13 13.94 1.79 -20.82 ...
## .. ..$ 0.5quant : num [1:55728] -4.92 -2.61 31.08 29.16 -11.36 ...
## .. ..$ 0.975quant: num [1:55728] 17.96 20.92 48.23 56.52 -1.91 ...
## .. ..$ mode : num [1:55728] -4.92 -2.61 31.08 29.16 -11.36 ...
## .. ..$ kld : num [1:55728] 2.95e-11 3.21e-11 2.67e-11 2.57e-11 4.49e-11 ...
## $ marginals.random :List of 1
## ..$ field:List of 55728
## .. ..$ index.1 : num [1:43, 1:2] -54.7 -48.3 -41 -32.1 -27.8 ...
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## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.3 : num [1:43, 1:2] -6.21 -1.47 4.04 10.73 13.94 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.4 : num [1:43, 1:2] -30.42 -22.83 -14.03 -3.34 1.79 ...
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## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
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## .. .. .. ..$ : chr [1:2] "x" "y"
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## .. ..$ N : num 13932
## .. ..$ Ntotal: num 55728
## .. ..$ ngroup: num 1
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## $ summary.linear.predictor :'data.frame': 81572 obs. of 7 variables:
## ..$ mean : num [1:81572] 93.6 94.1 95.5 14.4 18.3 ...
## ..$ sd : num [1:81572] 4.96 4.85 5.77 4.32 5.19 ...
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## ..$ 0.975quant: num [1:81572] 103.3 103.6 106.8 22.9 28.4 ...
## ..$ mode : num [1:81572] 93.6 94.1 95.5 14.4 18.3 ...
## ..$ kld : num [1:81572] 5.03e-11 5.02e-11 4.99e-11 4.82e-11 4.58e-11 ...
## $ marginals.linear.predictor : NULL
## $ summary.fitted.values :'data.frame': 81572 obs. of 6 variables:
## ..$ mean : num [1:81572] 93.6 94.1 95.5 14.4 18.3 ...
## ..$ sd : num [1:81572] 4.96 4.85 5.77 4.32 5.19 ...
## ..$ 0.025quant: num [1:81572] 83.85 84.61 84.17 5.96 8.08 ...
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## ..$ mode : num [1:81572] 93.6 94.1 95.5 14.4 18.3 ...
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## $ size.linear.predictor :List of 5
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## ..$ N : num 55730
## ..$ Ntotal: num 81572
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## $ summary.hyperpar :'data.frame': 4 obs. of 6 variables:
## ..$ mean : num [1:4] 0.00887 7.78845 2.82696 -1.23064
## ..$ sd : num [1:4] 0.000221 0.169683 0.019555 0.04302
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## ..$ mode : num [1:4] 0.0087 7.7037 2.8402 -1.2629
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## $ internal.summary.hyperpar :'data.frame': 4 obs. of 6 variables:
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## ..$ sd : num [1:4] 0.0245 0.029 0.0195 0.0429
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## ..$ 0.975quant: num [1:4] -4.67 1.82 2.86 -1.13
## ..$ mode : num [1:4] -4.74 1.74 2.84 -1.26
## $ internal.marginals.hyperpar:List of 4
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## ..$ dof_intern for student-t : num [1:43, 1:2] 1.66 1.67 1.68 1.7 1.71 ...
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## ..$ Theta1 for field : num [1:43, 1:2] 2.72 2.74 2.75 2.77 2.78 ...
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## .. .. ..$ : chr [1:2] "x" "y"
## $ offset.linear.predictor : num [1:81572] 0 0 0 0 0 0 0 0 0 0 ...
## $ model.spde2.blc : NULL
## $ summary.spde2.blc : list()
## $ marginals.spde2.blc : NULL
## $ size.spde2.blc : NULL
## $ model.spde3.blc : NULL
## $ summary.spde3.blc : list()
## $ marginals.spde3.blc : NULL
## $ size.spde3.blc : NULL
## $ logfile : chr [1:4783] "[PANUA] PARDISO License is expired." "[PANUA] Please obtain a new PARDISO license at https://www.panua.ch/products/pardiso" " Read ntt 24 1 with max.threads 24" " Found num.threads = 24:1 max_threads = 24" ...
## $ misc :List of 22
## ..$ cov.intern : num [1:4, 1:4] 0.000429 0.000466 -0.000174 0.000244 0.000466 ...
## ..$ cor.intern : num [1:4, 1:4] 1 0.59 -0.484 0.325 0.59 ...
## ..$ cov.intern.eigenvalues : num [1:4] 2.74e-05 2.04e-04 1.63e-03 1.63e-03
## ..$ cov.intern.eigenvectors : num [1:4, 1:4] -0.358 0.14 -0.873 -0.3 0.836 ...
## ..$ reordering : int [1:55730] 22273 22283 14788 14801 24958 25021 24765 24784 25023 24801 ...
## ..$ theta.tags : chr [1:4] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field"
## ..$ log.posterior.mode : num -104191
## ..$ stdev.corr.negative : num [1:4] 1.091 0.794 2.454 0.607
## ..$ stdev.corr.positive : num [1:4] 0.917 1.26 0.407 1.647
## ..$ to.theta :List of 4
## .. ..$ log precision for the student-t observations:function (x)
## .. ..$ dof_intern for student-t :function (x)
## .. ..$ Theta1 for field :function (x)
## .. ..$ Theta2 for field :function (x)
## ..$ from.theta :List of 4
## .. ..$ log precision for the student-t observations:function (x)
## .. ..$ dof_intern for student-t :function (x)
## .. ..$ Theta1 for field :function (x)
## .. ..$ Theta2 for field :function (x)
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## ..$ lincomb.derived.correlation.matrix: NULL
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## .. .. ..$ : chr [1:4] "dir:1" "dir:2" "dir:3" "dir:4"
## ..$ configs :List of 17
## .. ..$ .preopt : logi TRUE
## .. ..$ lite : logi FALSE
## .. ..$ mpred : int 25842
## .. ..$ npred : int 55730
## .. ..$ mnpred : int 81572
## .. ..$ Npred : int 25842
## .. ..$ n : int 55730
## .. ..$ nz : int 153769
## .. ..$ prior_nz : int 116274
## .. ..$ ntheta : int 4
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## .. ..$ contents :List of 3
## .. .. ..$ tag : chr [1:5] "APredictor" "Predictor" "field" "Intercept" ...
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## .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. ..$ : NULL
## .. .. .. .. ..$ : NULL
## .. .. .. ..@ x : num [1:103342] 1 1 1 1 1 1 1 1 1 1 ...
## .. .. .. ..@ factors : list()
## .. ..$ config :List of 25
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.74 1.74 2.85 -1.26
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -4.17
## .. .. .. ..$ log.posterior.orig: num -0.172
## .. .. .. ..$ mean : num [1:55730] -4.98 -2.65 31.07 29.21 -11.5 ...
## .. .. .. ..$ improved.mean : num [1:55730] -4.94 -2.63 31.13 29.25 -11.38 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.0505 0.0254 0.0155 0.0109 0.0462 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 136.7 144.7 76.6 195.2 23.3 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.0505 0.0254 0.0122 0.0109 0.0133 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.077787 -0.031711 0.055517 0.000658 -0.028745 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.6 94.1 95.5 14.4 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 29.56 7.24 -4.94 -2.63 31.13 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.75 1.74 2.84 -1.26
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -3.2
## .. .. .. ..$ log.posterior.orig: num 0
## .. .. .. ..$ mean : num [1:55730] -4.94 -2.62 30.89 28.99 -11.38 ...
## .. .. .. ..$ improved.mean : num [1:55730] -4.91 -2.6 30.97 29.05 -11.26 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.0513 0.0258 0.0156 0.0111 0.0463 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 134.3 142.1 75.9 192.3 23.2 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.0513 0.0258 0.0124 0.0111 0.0135 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.078014 -0.030926 0.055994 0.000267 -0.028699 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.5 94.1 95.4 14.5 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 29.53 7.27 -4.91 -2.6 30.97 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.74 1.74 2.86 -1.26
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -4.28
## .. .. .. ..$ log.posterior.orig: num -1.08
## .. .. .. ..$ mean : num [1:55730] -5.02 -2.67 31.29 29.47 -11.64 ...
## .. .. .. ..$ improved.mean : num [1:55730] -4.99 -2.65 31.32 29.49 -11.51 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.0496 0.0249 0.0153 0.0107 0.0461 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 139.6 147.8 77.4 198.7 23.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.0496 0.0249 0.012 0.0107 0.0131 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.07753 -0.03264 0.05496 0.00113 -0.0288 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.6 94.2 95.6 14.4 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 29.58 7.19 -4.99 -2.65 31.32 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.71 1.73 2.84 -1.28
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -5.01
## .. .. .. ..$ log.posterior.orig: num -1.81
## .. .. .. ..$ mean : num [1:55730] -4.9 -2.59 30.94 28.95 -11.51 ...
## .. .. .. ..$ improved.mean : num [1:55730] -4.87 -2.57 31 29 -11.38 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.0509 0.0256 0.0157 0.011 0.0473 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 134.1 141.7 75.3 192.4 22.8 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.0509 0.0256 0.0123 0.011 0.0135 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.08021 -0.03334 0.05714 0.00117 -0.02957 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.6 94.2 95.5 14.4 18.2 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 29.55 7.27 -4.87 -2.57 31 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.76 1.75 2.86 -1.25
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -6.66
## .. .. .. ..$ log.posterior.orig: num -3.46
## .. .. .. ..$ mean : num [1:55730] -5.03 -2.68 31.15 29.36 -11.49 ...
## .. .. .. ..$ improved.mean : num [1:55730] -4.99 -2.66 31.21 29.41 -11.37 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.0502 0.0253 0.0153 0.0108 0.0455 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 138.4 146.6 77.4 197 23.6 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.0502 0.0253 0.0121 0.0108 0.0133 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.076295 -0.030719 0.054519 0.000353 -0.028236 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.6 94.1 95.5 14.5 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 29.56 7.21 -4.99 -2.66 31.21 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.76 1.71 2.86 -1.28
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -6.71
## .. .. .. ..$ log.posterior.orig: num -3.51
## .. .. .. ..$ mean : num [1:55730] -4.89 -2.58 30.98 28.96 -11.53 ...
## .. .. .. ..$ improved.mean : num [1:55730] -4.85 -2.56 31.05 29 -11.41 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.049 0.0247 0.0151 0.0106 0.0456 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 139.1 146.9 78.2 199.7 23.7 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.049 0.0247 0.0119 0.0106 0.013 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.07717 -0.03174 0.05503 0.00111 -0.02846 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.6 94.1 95.5 14.4 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 29.55 7.26 -4.85 -2.56 31.05 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.65 1.91 2.81 -1.16
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -49.3
## .. .. .. ..$ log.posterior.orig: num -46.1
## .. .. .. ..$ mean : num [1:55730] -5.51 -3.05 31.58 30.66 -11.32 ...
## .. .. .. ..$ improved.mean : num [1:55730] -5.48 -3.02 31.67 30.73 -11.21 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.0605 0.0303 0.018 0.013 0.0503 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 122.8 131.4 67.3 169.5 21.1 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.0605 0.0303 0.0146 0.013 0.0159 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.08186 -0.03166 0.05871 -0.00212 -0.03065 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.5 94 95.4 14.6 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 29.59 7.1 -5.48 -3.02 31.67 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.74 1.66 2.8 -1.15
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -22
## .. .. .. ..$ log.posterior.orig: num -18.8
## .. .. .. ..$ mean : num [1:55730] -5.55 -3.09 30.95 30.27 -10.9 ...
## .. .. .. ..$ improved.mean : num [1:55730] -5.51 -3.07 31.08 30.37 -10.79 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.0624 0.0313 0.0183 0.0134 0.0497 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 120.5 129.2 66.5 165.8 21.3 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.0624 0.0313 0.015 0.0134 0.0164 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.0809 -0.03077 0.05852 -0.00327 -0.02997 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.5 94 95.4 14.7 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 29.53 7.26 -5.51 -3.07 31.08 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.74 1.77 2.87 -1.3
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -7.88
## .. .. .. ..$ log.posterior.orig: num -4.68
## .. .. .. ..$ mean : num [1:55730] -4.76 -2.48 31.1 28.75 -11.72 ...
## .. .. .. ..$ improved.mean : num [1:55730] -4.73 -2.46 31.14 28.78 -11.6 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.0467 0.0235 0.0146 0.0101 0.0451 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 143 150.7 80.7 207.1 24.1 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.0467 0.0235 0.0113 0.0101 0.0124 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.0767 -0.03203 0.0545 0.00209 -0.02832 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.6 94.2 95.5 14.3 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 29.56 7.23 -4.73 -2.46 31.14 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.71 1.84 2.85 -1.23
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -5.41
## .. .. .. ..$ log.posterior.orig: num -2.21
## .. .. .. ..$ mean : num [1:55730] -5.19 -2.79 31.49 29.95 -11.58 ...
## .. .. .. ..$ improved.mean : num [1:55730] -5.15 -2.77 31.55 29.99 -11.47 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.0525 0.0264 0.016 0.0113 0.0471 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 134.8 143.3 74.5 190.1 22.8 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.0525 0.0264 0.0127 0.0113 0.0139 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.078296 -0.031811 0.055726 0.000098 -0.029209 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.6 94.1 95.5 14.5 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 29.59 7.13 -5.15 -2.77 31.55 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.71 1.79 2.81 -1.15
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -22.5
## .. .. .. ..$ log.posterior.orig: num -19.3
## .. .. .. ..$ mean : num [1:55730] -5.58 -3.1 31.41 30.66 -11.17 ...
## .. .. .. ..$ improved.mean : num [1:55730] -5.54 -3.08 31.51 30.74 -11.06 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.0607 0.0304 0.0179 0.013 0.0495 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 123.6 132.6 67.6 169.9 21.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.0607 0.0304 0.0146 0.013 0.016 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.08038 -0.03109 0.05775 -0.00262 -0.03002 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.5 94 95.4 14.7 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 29.57 7.15 -5.54 -3.08 31.51 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.76 1.74 2.87 -1.28
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -10.6
## .. .. .. ..$ log.posterior.orig: num -7.45
## .. .. .. ..$ mean : num [1:55730] -4.87 -2.56 31.19 29.06 -11.69 ...
## .. .. .. ..$ improved.mean : num [1:55730] -4.84 -2.54 31.22 29.09 -11.56 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.0473 0.0238 0.0147 0.0102 0.0449 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 143.4 151.4 80.3 206.2 24.1 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.0473 0.0238 0.0114 0.0102 0.0125 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.07606 -0.03184 0.05399 0.00167 -0.02816 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.6 94.2 95.5 14.4 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 29.57 7.21 -4.84 -2.54 31.22 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.76 1.69 2.84 -1.21
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -5.47
## .. .. .. ..$ log.posterior.orig: num -2.27
## .. .. .. ..$ mean : num [1:55730] -5.27 -2.87 31.13 29.86 -11.28 ...
## .. .. .. ..$ improved.mean : num [1:55730] -5.23 -2.85 31.21 29.92 -11.16 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.0546 0.0274 0.0164 0.0118 0.0471 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 131.7 140.3 72.9 184.6 22.7 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.0546 0.0274 0.0132 0.0118 0.0144 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.078104 -0.031252 0.055919 -0.000975 -0.028967 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.6 94.1 95.5 14.6 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 29.55 7.22 -5.23 -2.85 31.21 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.68 1.83 2.84 -1.24
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -13.3
## .. .. .. ..$ log.posterior.orig: num -10.1
## .. .. .. ..$ mean : num [1:55730] -5.12 -2.75 31.39 29.75 -11.59 ...
## .. .. .. ..$ improved.mean : num [1:55730] -5.09 -2.73 31.43 29.78 -11.47 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.0529 0.0266 0.0162 0.0114 0.0481 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 132.8 140.9 73.5 187.8 22.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.0529 0.0266 0.0128 0.0114 0.014 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.080277 -0.033127 0.057045 0.000498 -0.029887 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.6 94.2 95.5 14.4 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 29.59 7.16 -5.09 -2.73 31.43 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.68 1.78 2.8 -1.16
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -37.3
## .. .. .. ..$ log.posterior.orig: num -34.1
## .. .. .. ..$ mean : num [1:55730] -5.52 -3.05 31.31 30.48 -11.18 ...
## .. .. .. ..$ improved.mean : num [1:55730] -5.48 -3.03 31.4 30.55 -11.06 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.0612 0.0306 0.0181 0.0131 0.0505 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 121.8 130.4 66.7 168 21 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.0612 0.0306 0.0147 0.0131 0.0161 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.0824 -0.0324 0.0591 -0.0023 -0.0307 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.5 94.1 95.4 14.6 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 29.57 7.18 -5.48 -3.03 31.4 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.73 1.73 2.86 -1.3
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -5.39
## .. .. .. ..$ log.posterior.orig: num -2.19
## .. .. .. ..$ mean : num [1:55730] -4.8 -2.51 31.09 28.86 -11.7 ...
## .. .. .. ..$ improved.mean : num [1:55730] -4.77 -2.5 31.11 28.88 -11.57 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.0476 0.024 0.0148 0.0103 0.0458 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 141.2 148.9 79.2 203.7 23.7 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.0476 0.024 0.0115 0.0103 0.0126 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.07799 -0.03315 0.05528 0.00211 -0.02882 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.7 94.2 95.6 14.3 18.2 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 29.57 7.24 -4.77 -2.5 31.11 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.73 1.68 2.83 -1.22
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -7.01
## .. .. .. ..$ log.posterior.orig: num -3.82
## .. .. .. ..$ mean : num [1:55730] -5.21 -2.82 31.02 29.66 -11.29 ...
## .. .. .. ..$ improved.mean : num [1:55730] -5.17 -2.8 31.1 29.73 -11.16 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.055 0.0276 0.0166 0.0118 0.048 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 129.7 137.9 71.9 182.4 22.3 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.055 0.0276 0.0133 0.0118 0.0145 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.080084 -0.032575 0.057242 -0.000616 -0.029644 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.6 94.1 95.5 14.5 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 29.55 7.25 -5.17 -2.8 31.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.71 1.84 2.84 -1.23
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -5.86
## .. .. .. ..$ log.posterior.orig: num -2.66
## .. .. .. ..$ mean : num [1:55730] -5.15 -2.77 31.29 29.71 -11.46 ...
## .. .. .. ..$ improved.mean : num [1:55730] -5.11 -2.75 31.36 29.76 -11.34 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.0534 0.0268 0.0162 0.0115 0.0472 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 132.3 140.5 73.8 187 22.7 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.0534 0.0268 0.0129 0.0115 0.0141 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.078551 -0.030951 0.056255 -0.000329 -0.029161 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.5 94.1 95.4 14.5 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 29.57 7.17 -5.11 -2.75 31.36 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.71 1.79 2.8 -1.15
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -25.8
## .. .. .. ..$ log.posterior.orig: num -22.6
## .. .. .. ..$ mean : num [1:55730] -5.53 -3.07 31.21 30.42 -11.05 ...
## .. .. .. ..$ improved.mean : num [1:55730] -5.5 -3.05 31.32 30.51 -10.93 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.0618 0.0309 0.0182 0.0132 0.0496 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 121.3 130 67 167.2 21.3 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.0618 0.0309 0.0149 0.0132 0.0163 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.08064 -0.0302 0.0583 -0.00303 -0.02997 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.5 94 95.3 14.7 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 29.55 7.19 -5.5 -3.05 31.32 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.76 1.74 2.86 -1.29
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -8.93
## .. .. .. ..$ log.posterior.orig: num -5.74
## .. .. .. ..$ mean : num [1:55730] -4.83 -2.54 30.99 28.82 -11.56 ...
## .. .. .. ..$ improved.mean : num [1:55730] -4.8 -2.52 31.06 28.87 -11.44 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.0481 0.0242 0.0148 0.0104 0.045 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 140.7 148.4 79.5 202.8 24 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.0481 0.0242 0.0116 0.0104 0.0127 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.0763 -0.031 0.0545 0.00124 -0.02811 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.6 94.1 95.5 14.4 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 29.55 7.25 -4.8 -2.52 31.06 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.76 1.69 2.83 -1.21
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -6.64
## .. .. .. ..$ log.posterior.orig: num -3.44
## .. .. .. ..$ mean : num [1:55730] -5.23 -2.84 30.93 29.62 -11.16 ...
## .. .. .. ..$ improved.mean : num [1:55730] -5.19 -2.82 31.03 29.7 -11.04 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.0556 0.0279 0.0166 0.012 0.0472 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 129.2 137.5 72.2 181.6 22.6 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.0556 0.0279 0.0134 0.012 0.0147 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.07835 -0.03039 0.05645 -0.00139 -0.02892 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.5 94 95.4 14.6 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 29.53 7.26 -5.19 -2.82 31.03 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.68 1.83 2.83 -1.24
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -14
## .. .. .. ..$ log.posterior.orig: num -10.8
## .. .. .. ..$ mean : num [1:55730] -5.08 -2.72 31.19 29.51 -11.46 ...
## .. .. .. ..$ improved.mean : num [1:55730] -5.05 -2.7 31.25 29.55 -11.35 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.0538 0.027 0.0164 0.0116 0.0482 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 130.2 138.1 72.7 184.8 22.3 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.0538 0.027 0.013 0.0116 0.0142 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 8.05e-02 -3.22e-02 5.76e-02 5.55e-05 -2.98e-02 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.6 94.1 95.5 14.5 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 29.57 7.2 -5.05 -2.7 31.25 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.68 1.78 2.79 -1.17
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -40.9
## .. .. .. ..$ log.posterior.orig: num -37.7
## .. .. .. ..$ mean : num [1:55730] -5.47 -3.03 31.11 30.23 -11.05 ...
## .. .. .. ..$ improved.mean : num [1:55730] -5.44 -3.01 31.21 30.32 -10.94 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.0622 0.0312 0.0184 0.0133 0.0506 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 119.5 127.8 66 165.3 20.9 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.0622 0.0312 0.015 0.0133 0.0164 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.08266 -0.0315 0.05967 -0.00273 -0.03067 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.5 94 95.4 14.7 18.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 29.54 7.22 -5.44 -3.01 31.21 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.74 1.73 2.85 -1.3
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -3.98
## .. .. .. ..$ log.posterior.orig: num -0.786
## .. .. .. ..$ mean : num [1:55730] -4.76 -2.49 30.88 28.62 -11.57 ...
## .. .. .. ..$ improved.mean : num [1:55730] -4.73 -2.47 30.96 28.68 -11.45 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.0484 0.0244 0.015 0.0105 0.0459 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 138.5 145.9 78.4 200.4 23.6 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.0484 0.0244 0.0117 0.0105 0.0128 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.07823 -0.0323 0.0558 0.00167 -0.02877 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 93.6 94.2 95.5 14.4 18.2 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 29.54 7.27 -4.73 -2.47 30.96 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.74 1.68 2.82 -1.22
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -8.47
## .. .. .. ..$ log.posterior.orig: num -5.27
## .. .. .. ..$ mean : num [1:55730] -5.17 -2.8 30.82 29.42 -11.16 ...
## .. .. .. ..$ improved.mean : num [1:55730] -5.13 -2.78 30.92 29.5 -11.04 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.0559 0.0281 0.0168 0.0121 0.0481 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
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## ..$ Log posterior density : num [1:16] -104206 -104206 -104207 -104208 -104210 ...
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## $ .args :List of 30
## ..$ formula :Class 'formula' language BRU.response ~ f(Intercept, model = BRU_Intercept_main_model, ngroup = 1, nrep = 1, values = BRU_Intercept_v| __truncated__ ...
## ..$ family : chr "t"
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## .. ..$ BRU.response : num [1:25842] 99.8 91.7 99.8 14.5 16.1 ...
## .. ..$ BRU.E : num [1:25842] 1 1 1 1 1 1 1 1 1 1 ...
## .. ..$ BRU.Ntrials : num [1:25842] 1 1 1 1 1 1 1 1 1 1 ...
## .. ..$ BRU.weights : num [1:25842] 1 1 1 1 1 1 1 1 1 1 ...
## .. ..$ BRU.scale : num [1:25842] 1 1 1 1 1 1 1 1 1 1 ...
## .. ..$ BRU.offset : num [1:25842] 0 0 0 0 0 0 0 0 0 0 ...
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## .. ..$ Intercept.group : int [1:55730] 1 NA NA NA NA NA NA NA NA NA ...
## .. ..$ Intercept.repl : int [1:55730] 1 NA NA NA NA NA NA NA NA NA ...
## .. ..$ SpeedLimit : num [1:55730] NA 1 NA NA NA NA NA NA NA NA ...
## .. ..$ SpeedLimit.group : int [1:55730] NA 1 NA NA NA NA NA NA NA NA ...
## .. ..$ SpeedLimit.repl : int [1:55730] NA 1 NA NA NA NA NA NA NA NA ...
## .. ..$ field : int [1:55730] NA NA 1 2 3 4 5 6 7 8 ...
## .. ..$ field.group : int [1:55730] NA NA 1 1 1 1 1 1 1 1 ...
## .. ..$ field.repl : int [1:55730] NA NA 1 1 1 1 1 1 1 1 ...
## .. ..$ BRU_Intercept_main_model : chr "linear"
## .. ..$ BRU_Intercept_values : num 1
## .. ..$ BRU_SpeedLimit_main_model: chr "linear"
## .. ..$ BRU_SpeedLimit_values : num 1
## .. ..$ BRU_field_main_model :List of 21
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## .. .. ..$ debug : logi FALSE
## .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 5 7 9 9 10 12 13 14 15 12 18 19 21 20 22 24 26 28 30 ...
## edge_lengths: 0.0820202978316493 0.13610246403764 0.07378151878521 0.0 ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 11104
## nV: 8781
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
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## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 5502 2 359 3 4077 4 5117 5 7 5419 8 9 10 11 4817 4613 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
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## .. .. ..$ theta8 :List of 11
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## .. .. .. ..$ short.name : chr "b8"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[8] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[8] for lp_scale"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ from.theta :function (x)
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## .. .. ..$ theta9 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta9"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b9"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[9] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[9] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta10 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta10"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b10"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[10] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[10] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta11 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta11"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b11"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[11] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[11] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta12 :List of 11
## .. .. .. ..$ hyperid : num 103012
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta12"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b12"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[12] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[12] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta13 :List of 11
## .. .. .. ..$ hyperid : num 103013
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta13"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b13"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[13] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[13] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta14 :List of 11
## .. .. .. ..$ hyperid : num 103014
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta14"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b14"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[14] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[14] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta15 :List of 11
## .. .. .. ..$ hyperid : num 103015
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta15"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b15"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[15] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[15] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta16 :List of 11
## .. .. .. ..$ hyperid : num 103016
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta16"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b16"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[16] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[16] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta17 :List of 11
## .. .. .. ..$ hyperid : num 103017
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta17"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b17"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[17] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[17] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta18 :List of 11
## .. .. .. ..$ hyperid : num 103018
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta18"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b18"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[18] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[18] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta19 :List of 11
## .. .. .. ..$ hyperid : num 103019
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta19"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b19"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[19] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[19] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta20 :List of 11
## .. .. .. ..$ hyperid : num 103020
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta20"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b20"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[20] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[20] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta21 :List of 11
## .. .. .. ..$ hyperid : num 103021
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta21"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b21"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[21] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[21] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta22 :List of 11
## .. .. .. ..$ hyperid : num 103022
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta22"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b22"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[22] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[22] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta23 :List of 11
## .. .. .. ..$ hyperid : num 103023
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta23"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b23"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[23] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[23] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta24 :List of 11
## .. .. .. ..$ hyperid : num 103024
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta24"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b24"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[24] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[24] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta25 :List of 11
## .. .. .. ..$ hyperid : num 103025
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta25"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b25"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[25] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[25] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta26 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta26"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b26"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[26] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[26] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta27 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta27"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b27"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[27] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[27] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta28 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta28"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b28"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[28] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[28] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta29 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta29"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b29"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[29] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[29] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta30 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta30"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b30"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[30] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[30] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta31 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta31"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b31"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[31] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[31] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta32 :List of 11
## .. .. .. ..$ hyperid : num 103032
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta32"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b32"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[32] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[32] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta33 :List of 11
## .. .. .. ..$ hyperid : num 103033
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta33"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b33"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[33] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[33] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta34 :List of 11
## .. .. .. ..$ hyperid : num 103034
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta34"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b34"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[34] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[34] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta35 :List of 11
## .. .. .. ..$ hyperid : num 103035
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta35"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b35"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[35] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[35] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta36 :List of 11
## .. .. .. ..$ hyperid : num 103036
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta36"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b36"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[36] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[36] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta37 :List of 11
## .. .. .. ..$ hyperid : num 103037
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta37"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b37"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[37] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[37] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta38 :List of 11
## .. .. .. ..$ hyperid : num 103038
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta38"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b38"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[38] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[38] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta39 :List of 11
## .. .. .. ..$ hyperid : num 103039
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta39"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b39"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[39] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[39] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta40 :List of 11
## .. .. .. ..$ hyperid : num 103040
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta40"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b40"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[40] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[40] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta41 :List of 11
## .. .. .. ..$ hyperid : num 103041
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta41"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b41"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[41] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[41] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta42 :List of 11
## .. .. .. ..$ hyperid : num 103042
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta42"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b42"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[42] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[42] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta43 :List of 11
## .. .. .. ..$ hyperid : num 103043
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta43"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ short.name : chr "b61"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[61] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[61] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[62] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[62] for lp_scale"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b63"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[63] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[63] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ from.theta :function (x)
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## .. .. .. ..$ name : chr "beta64"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b64"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[64] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[64] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta65 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta65"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b65"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[65] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[65] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta66 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta66"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b66"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[66] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[66] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta67 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta67"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b67"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[67] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[67] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta68 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta68"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b68"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[68] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[68] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta69 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta69"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b69"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[69] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[69] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta70 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta70"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b70"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[70] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[70] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta71 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta71"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b71"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[71] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[71] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta72 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta72"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b72"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[72] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[72] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta73 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta73"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b73"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[73] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[73] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta74 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta74"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b74"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[74] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[74] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta75 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta75"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b75"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[75] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[75] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta76 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta76"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b76"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[76] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[76] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta77 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta77"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b77"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[77] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[77] for lp_scale"
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta78 :List of 11
## .. .. .. ..$ hyperid : num 103078
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta78"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b78"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[78] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[78] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b80"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[80] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[80] for lp_scale"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b81"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[81] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[81] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta82 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta82"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b82"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[82] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[82] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta83 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta83"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b83"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[83] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[83] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta84 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b84"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[84] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[84] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta85 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta85"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b85"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[85] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[85] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta86 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta86"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b86"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[86] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[86] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta87 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta87"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b87"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[87] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[87] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta88 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta88"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b88"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[88] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[88] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta89 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta89"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b89"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[89] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[89] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta90 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta90"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b90"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[90] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[90] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ fixed : logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta91 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta91"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b91"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[91] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[91] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta92 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta92"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b92"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[92] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[92] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta93 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta93"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b93"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[93] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[93] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta94 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta94"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b94"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[94] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[94] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta95 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta95"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b95"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[95] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[95] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta96 :List of 11
## .. .. .. ..$ hyperid : num 103096
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta96"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. .. .. ..$ n_inla_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : int 1
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: num 1
## .. .. .. .. .. .. ..$ values_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : num 1
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int 1
## .. .. .. .. .. .. ..$ values_inla_multi:List of 3
## .. .. .. .. .. .. .. ..$ main : num 1
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int 1
## .. .. .. .. .. .. ..$ is_linear_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : logi TRUE
## .. .. .. .. .. .. .. ..$ group : logi TRUE
## .. .. .. .. .. .. .. ..$ replicate: logi TRUE
## .. .. .. .. .. .. ..$ n : num 1
## .. .. .. .. .. .. ..$ n_inla : num 1
## .. .. .. .. .. .. ..$ is_linear : logi TRUE
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_multi" "bru_mapper" "list"
## .. .. .. .. .. ..$ scale : list()
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_scale" "bru_mapper" "list"
## .. .. .. .. ..$ : Named logi [1:2] TRUE TRUE
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ is_linear: logi TRUE
## .. .. .. .. ..$ n_multi : Named int [1:2] 1 NA
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ names : chr [1:2] "mapper" "scale"
## .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_pipe" "bru_mapper" "list"
## .. .. .. ..- attr(*, "class")= chr [1:2] "component" "list"
## .. .. ..$ field :List of 12
## .. .. .. ..$ label : chr "field"
## .. .. .. ..$ inla.formula:Class 'formula' language ~. + f(field, model = BRU_field_main_model, replicate = field.repl, ngroup = 1, nrep = 4L, values = BRU_field_values)
## .. .. .. .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
## .. .. .. ..$ main :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : symbol loc
## .. .. .. .. .. ..$ label : chr "field"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 1
## .. .. .. .. .. ..$ model:List of 21
## .. .. .. .. .. .. ..$ f :List of 3
## .. .. .. .. .. .. .. ..$ model : chr "cgeneric"
## .. .. .. .. .. .. .. ..$ n : int 13932
## .. .. .. .. .. .. .. ..$ cgeneric:List of 5
## .. .. .. .. .. .. .. .. ..$ model: chr "inla_cgeneric_rspde_stat_int_model"
## .. .. .. .. .. .. .. .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. ..$ n : int 13932
## .. .. .. .. .. .. .. .. ..$ debug: logi FALSE
## .. .. .. .. .. .. .. .. ..$ data :List of 5
## .. .. .. .. .. .. .. .. .. ..$ ints :List of 5
## .. .. .. .. .. .. .. .. .. .. ..$ n : int 13932
## .. .. .. .. .. .. .. .. .. .. ..$ debug : int 0
## .. .. .. .. .. .. .. .. .. .. ..$ m_alpha : int 1
## .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_i: int [1:29068] 0 0 0 0 1 1 1 1 1 2 ...
## .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_j: int [1:29068] 0 5681 8781 11463 1 8781 11429 11463 13882 2 ...
## .. .. .. .. .. .. .. .. .. ..$ doubles :List of 4
## .. .. .. .. .. .. .. .. .. .. ..$ matrices_less : num [1:58136] 0.0534 0 0 0 0.0776 ...
## .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean: num [1:2] 0 1.35
## .. .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:2] 0 1.35
## .. .. .. .. .. .. .. .. .. .. ..$ nu : num 0.5
## .. .. .. .. .. .. .. .. .. ..$ characters:List of 4
## .. .. .. .. .. .. .. .. .. .. ..$ model : chr "inla_cgeneric_rspde_stat_int_model"
## .. .. .. .. .. .. .. .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. .. .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. .. .. .. .. .. .. .. ..$ matrices :List of 1
## .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec: num [1:6] 2 2 0.1 0 0 0.1
## .. .. .. .. .. .. .. .. .. ..$ smatrices : list()
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr "inla.cgeneric"
## .. .. .. .. .. .. ..$ cgeneric_type : chr "int_alpha"
## .. .. .. .. .. .. ..$ nu : num 0.5
## .. .. .. .. .. .. ..$ theta.prior.mean : num [1:2] 0 1.35
## .. .. .. .. .. .. ..$ prior.nu :List of 4
## .. .. .. .. .. .. .. ..$ loglocation: num -5e-06
## .. .. .. .. .. .. .. ..$ mean : num 1
## .. .. .. .. .. .. .. ..$ prec : num 3
## .. .. .. .. .. .. .. ..$ logscale : num 1
## .. .. .. .. .. .. ..$ theta.prior.prec : num [1:2, 1:2] 0.1 0 0 0.1
## .. .. .. .. .. .. ..$ start.nu : num 0.5
## .. .. .. .. .. .. ..$ integer.nu : logi TRUE
## .. .. .. .. .. .. ..$ start.theta : num [1:2] 0 1.35
## .. .. .. .. .. .. ..$ stationary : logi TRUE
## .. .. .. .. .. .. ..$ rspde.order : num 2
## .. .. .. .. .. .. ..$ dim : num 1
## .. .. .. .. .. .. ..$ est_nu : logi FALSE
## .. .. .. .. .. .. ..$ nu.upper.bound : num 2
## .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. ..$ debug : logi FALSE
## .. .. .. .. .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. .. .. .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 5 7 9 9 10 12 13 14 15 12 18 19 21 20 22 24 26 28 30 ...
## edge_lengths: 0.0820202978316493 0.13610246403764 0.07378151878521 0.0 ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 11104
## nV: 8781
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.40171 -122.40078 -122.44449 -122.44331 -122.41216 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 5502 2 359 3 4077 4 5117 5 7 5419 8 9 10 11 4817 4613 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## .. .. .. .. .. .. ..$ fem_mesh :List of 4
## .. .. .. .. .. .. .. ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:13932] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. ..@ j : int [1:13932] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:13932] 0.0534 0.0776 0.0408 0.0457 0.0367 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:44204] 0 5681 8781 11463 1 8781 11429 11463 13882 2 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:13933] 0 4 9 12 15 18 23 26 29 34 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:44204] 210.6 -161.9 -24.4 -24.4 103.4 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:81554] 0 1 5399 5681 8781 11463 0 1 4450 8781 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:13933] 0 6 13 18 23 28 37 42 47 56 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:81554] 1731368 28997 607384 -2117274 -125237 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:124984] 0 1 805 5399 5681 8781 11429 11463 13882 0 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:13933] 0 9 18 25 32 43 56 65 72 85 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:124984] 1.84e+10 1.88e+08 -4.79e+08 9.57e+09 -2.57e+10 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. ..$ n.spde : int 13932
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_inla_rspde" "bru_mapper" "list"
## .. .. .. .. ..$ model :List of 21
## .. .. .. .. .. ..$ f :List of 3
## .. .. .. .. .. .. ..$ model : chr "cgeneric"
## .. .. .. .. .. .. ..$ n : int 13932
## .. .. .. .. .. .. ..$ cgeneric:List of 5
## .. .. .. .. .. .. .. ..$ model: chr "inla_cgeneric_rspde_stat_int_model"
## .. .. .. .. .. .. .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. ..$ n : int 13932
## .. .. .. .. .. .. .. ..$ debug: logi FALSE
## .. .. .. .. .. .. .. ..$ data :List of 5
## .. .. .. .. .. .. .. .. ..$ ints :List of 5
## .. .. .. .. .. .. .. .. .. ..$ n : int 13932
## .. .. .. .. .. .. .. .. .. ..$ debug : int 0
## .. .. .. .. .. .. .. .. .. ..$ m_alpha : int 1
## .. .. .. .. .. .. .. .. .. ..$ graph_opt_i: int [1:29068] 0 0 0 0 1 1 1 1 1 2 ...
## .. .. .. .. .. .. .. .. .. ..$ graph_opt_j: int [1:29068] 0 5681 8781 11463 1 8781 11429 11463 13882 2 ...
## .. .. .. .. .. .. .. .. ..$ doubles :List of 4
## .. .. .. .. .. .. .. .. .. ..$ matrices_less : num [1:58136] 0.0534 0 0 0 0.0776 ...
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean: num [1:2] 0 1.35
## .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:2] 0 1.35
## .. .. .. .. .. .. .. .. .. ..$ nu : num 0.5
## .. .. .. .. .. .. .. .. ..$ characters:List of 4
## .. .. .. .. .. .. .. .. .. ..$ model : chr "inla_cgeneric_rspde_stat_int_model"
## .. .. .. .. .. .. .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. .. .. .. .. .. .. ..$ matrices :List of 1
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec: num [1:6] 2 2 0.1 0 0 0.1
## .. .. .. .. .. .. .. .. ..$ smatrices : list()
## .. .. .. .. .. .. .. ..- attr(*, "class")= chr "inla.cgeneric"
## .. .. .. .. .. ..$ cgeneric_type : chr "int_alpha"
## .. .. .. .. .. ..$ nu : num 0.5
## .. .. .. .. .. ..$ theta.prior.mean : num [1:2] 0 1.35
## .. .. .. .. .. ..$ prior.nu :List of 4
## .. .. .. .. .. .. ..$ loglocation: num -5e-06
## .. .. .. .. .. .. ..$ mean : num 1
## .. .. .. .. .. .. ..$ prec : num 3
## .. .. .. .. .. .. ..$ logscale : num 1
## .. .. .. .. .. ..$ theta.prior.prec : num [1:2, 1:2] 0.1 0 0 0.1
## .. .. .. .. .. ..$ start.nu : num 0.5
## .. .. .. .. .. ..$ integer.nu : logi TRUE
## .. .. .. .. .. ..$ start.theta : num [1:2] 0 1.35
## .. .. .. .. .. ..$ stationary : logi TRUE
## .. .. .. .. .. ..$ rspde.order : num 2
## .. .. .. .. .. ..$ dim : num 1
## .. .. .. .. .. ..$ est_nu : logi FALSE
## .. .. .. .. .. ..$ nu.upper.bound : num 2
## .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. ..$ debug : logi FALSE
## .. .. .. .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. .. .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 5 7 9 9 10 12 13 14 15 12 18 19 21 20 22 24 26 28 30 ...
## edge_lengths: 0.0820202978316493 0.13610246403764 0.07378151878521 0.0 ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 11104
## nV: 8781
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.40171 -122.40078 -122.44449 -122.44331 -122.41216 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 5502 2 359 3 4077 4 5117 5 7 5419 8 9 10 11 4817 4613 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## .. .. .. .. .. ..$ fem_mesh :List of 4
## .. .. .. .. .. .. ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:13932] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. ..@ j : int [1:13932] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:13932] 0.0534 0.0776 0.0408 0.0457 0.0367 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:44204] 0 5681 8781 11463 1 8781 11429 11463 13882 2 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:13933] 0 4 9 12 15 18 23 26 29 34 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:44204] 210.6 -161.9 -24.4 -24.4 103.4 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:81554] 0 1 5399 5681 8781 11463 0 1 4450 8781 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:13933] 0 6 13 18 23 28 37 42 47 56 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:81554] 1731368 28997 607384 -2117274 -125237 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:124984] 0 1 805 5399 5681 8781 11429 11463 13882 0 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:13933] 0 9 18 25 32 43 56 65 72 85 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:124984] 1.84e+10 1.88e+08 -4.79e+08 9.57e+09 -2.57e+10 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. ..$ n.spde : int 13932
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"
## .. .. .. .. ..$ type : chr "cgeneric"
## .. .. .. .. ..$ n : num 13932
## .. .. .. .. ..$ values : int [1:13932] 1 2 3 4 5 6 7 8 9 10 ...
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ group :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : int 1
## .. .. .. .. .. ..$ label : chr "field.group"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 1
## .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "exchangeable"
## .. .. .. .. ..$ type : chr "exchangeable"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ values : int 1
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ replicate :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : language data_rspde_bru_stat[["repl"]]
## .. .. .. .. .. ..$ label : chr "field.repl"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 4
## .. .. .. .. .. ..$ levels : chr [1:4] "1" "2" "3" "4"
## .. .. .. .. .. ..$ factor_mapping: chr "full"
## .. .. .. .. .. ..$ indexed : logi TRUE
## .. .. .. .. .. ..$ n : int 4
## .. .. .. .. .. ..- attr(*, "class")= chr [1:4] "bru_mapper_factor_index" "bru_mapper_factor" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "iid"
## .. .. .. .. ..$ type : chr "iid"
## .. .. .. .. ..$ n : int 4
## .. .. .. .. ..$ values : int [1:4] 1 2 3 4
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ weights : NULL
## .. .. .. ..$ copy : NULL
## .. .. .. ..$ marginal : NULL
## .. .. .. ..$ env :<environment: R_GlobalEnv>
## .. .. .. ..$ env_extra :<environment: 0x564440c42268>
## .. .. .. ..$ fcall : language "f"(field, model = BRU_field_main_model, replicate = field.repl, ngroup = 1, nrep = 4L, values = BRU_field_values)
## .. .. .. ..$ mapper :List of 6
## .. .. .. .. ..$ mappers :List of 2
## .. .. .. .. .. ..$ mapper:List of 9
## .. .. .. .. .. .. ..$ mappers :List of 3
## .. .. .. .. .. .. .. ..$ main :List of 1
## .. .. .. .. .. .. .. .. ..$ model:List of 21
## .. .. .. .. .. .. .. .. .. ..$ f :List of 3
## .. .. .. .. .. .. .. .. .. .. ..$ model : chr "cgeneric"
## .. .. .. .. .. .. .. .. .. .. ..$ n : int 13932
## .. .. .. .. .. .. .. .. .. .. ..$ cgeneric:List of 5
## .. .. .. .. .. .. .. .. .. .. .. ..$ model: chr "inla_cgeneric_rspde_stat_int_model"
## .. .. .. .. .. .. .. .. .. .. .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. .. .. ..$ n : int 13932
## .. .. .. .. .. .. .. .. .. .. .. ..$ debug: logi FALSE
## .. .. .. .. .. .. .. .. .. .. .. ..$ data :List of 5
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ ints :List of 5
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ n : int 13932
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ debug : int 0
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ m_alpha : int 1
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_i: int [1:29068] 0 0 0 0 1 1 1 1 1 2 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_j: int [1:29068] 0 5681 8781 11463 1 8781 11429 11463 13882 2 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ doubles :List of 4
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ matrices_less : num [1:58136] 0.0534 0 0 0 0.0776 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean: num [1:2] 0 1.35
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:2] 0 1.35
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ nu : num 0.5
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ characters:List of 4
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ model : chr "inla_cgeneric_rspde_stat_int_model"
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ matrices :List of 1
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec: num [1:6] 2 2 0.1 0 0 0.1
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ smatrices : list()
## .. .. .. .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr "inla.cgeneric"
## .. .. .. .. .. .. .. .. .. ..$ cgeneric_type : chr "int_alpha"
## .. .. .. .. .. .. .. .. .. ..$ nu : num 0.5
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean : num [1:2] 0 1.35
## .. .. .. .. .. .. .. .. .. ..$ prior.nu :List of 4
## .. .. .. .. .. .. .. .. .. .. ..$ loglocation: num -5e-06
## .. .. .. .. .. .. .. .. .. .. ..$ mean : num 1
## .. .. .. .. .. .. .. .. .. .. ..$ prec : num 3
## .. .. .. .. .. .. .. .. .. .. ..$ logscale : num 1
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec : num [1:2, 1:2] 0.1 0 0 0.1
## .. .. .. .. .. .. .. .. .. ..$ start.nu : num 0.5
## .. .. .. .. .. .. .. .. .. ..$ integer.nu : logi TRUE
## .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:2] 0 1.35
## .. .. .. .. .. .. .. .. .. ..$ stationary : logi TRUE
## .. .. .. .. .. .. .. .. .. ..$ rspde.order : num 2
## .. .. .. .. .. .. .. .. .. ..$ dim : num 1
## .. .. .. .. .. .. .. .. .. ..$ est_nu : logi FALSE
## .. .. .. .. .. .. .. .. .. ..$ nu.upper.bound : num 2
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. .. .. .. ..$ debug : logi FALSE
## .. .. .. .. .. .. .. .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. .. .. .. .. .. .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 5 7 9 9 10 12 13 14 15 12 18 19 21 20 22 24 26 28 30 ...
## edge_lengths: 0.0820202978316493 0.13610246403764 0.07378151878521 0.0 ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 11104
## nV: 8781
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.40171 -122.40078 -122.44449 -122.44331 -122.41216 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 5502 2 359 3 4077 4 5117 5 7 5419 8 9 10 11 4817 4613 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## .. .. .. .. .. .. .. .. .. ..$ fem_mesh :List of 4
## .. .. .. .. .. .. .. .. .. .. ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:13932] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ j : int [1:13932] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:13932] 0.0534 0.0776 0.0408 0.0457 0.0367 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. .. ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:44204] 0 5681 8781 11463 1 8781 11429 11463 13882 2 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ p : int [1:13933] 0 4 9 12 15 18 23 26 29 34 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:44204] 210.6 -161.9 -24.4 -24.4 103.4 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. .. ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:81554] 0 1 5399 5681 8781 11463 0 1 4450 8781 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ p : int [1:13933] 0 6 13 18 23 28 37 42 47 56 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:81554] 1731368 28997 607384 -2117274 -125237 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. .. ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:124984] 0 1 805 5399 5681 8781 11429 11463 13882 0 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ p : int [1:13933] 0 9 18 25 32 43 56 65 72 85 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:124984] 1.84e+10 1.88e+08 -4.79e+08 9.57e+09 -2.57e+10 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. .. .. .. ..$ n.spde : int 13932
## .. .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_inla_rspde" "bru_mapper" "list"
## .. .. .. .. .. .. .. ..$ group :List of 1
## .. .. .. .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. .. .. .. ..$ replicate:List of 4
## .. .. .. .. .. .. .. .. ..$ levels : chr [1:4] "1" "2" "3" "4"
## .. .. .. .. .. .. .. .. ..$ factor_mapping: chr "full"
## .. .. .. .. .. .. .. .. ..$ indexed : logi TRUE
## .. .. .. .. .. .. .. .. ..$ n : int 4
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:4] "bru_mapper_factor_index" "bru_mapper_factor" "bru_mapper" "list"
## .. .. .. .. .. .. ..$ n_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : num 13932
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: int 4
## .. .. .. .. .. .. ..$ n_inla_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : num 13932
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: int 4
## .. .. .. .. .. .. ..$ values_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : int [1:13932] 1 2 3 4 5 6 7 8 9 10 ...
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int [1:4] 1 2 3 4
## .. .. .. .. .. .. ..$ values_inla_multi:List of 3
## .. .. .. .. .. .. .. ..$ main : int [1:13932] 1 2 3 4 5 6 7 8 9 10 ...
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int [1:4] 1 2 3 4
## .. .. .. .. .. .. ..$ is_linear_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : logi TRUE
## .. .. .. .. .. .. .. ..$ group : logi TRUE
## .. .. .. .. .. .. .. ..$ replicate: logi TRUE
## .. .. .. .. .. .. ..$ n : num 55728
## .. .. .. .. .. .. ..$ n_inla : num 55728
## .. .. .. .. .. .. ..$ is_linear : logi TRUE
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_multi" "bru_mapper" "list"
## .. .. .. .. .. ..$ scale : list()
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_scale" "bru_mapper" "list"
## .. .. .. .. ..$ : Named logi [1:2] TRUE TRUE
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ is_linear: logi TRUE
## .. .. .. .. ..$ n_multi : Named int [1:2] 55728 NA
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ n : num 55728
## .. .. .. .. ..$ names : chr [1:2] "mapper" "scale"
## .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_pipe" "bru_mapper" "list"
## .. .. .. ..- attr(*, "class")= chr [1:2] "component" "list"
## .. .. ..- attr(*, "class")= chr [1:2] "component_list" "list"
## .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
## .. ..$ formula:Class 'formula' language BRU_response ~ f(Intercept, model = BRU_Intercept_main_model, ngroup = 1, nrep = 1, values = BRU_Intercept_v| __truncated__ ...
## .. .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
## .. ..- attr(*, "class")= chr [1:2] "bru_model" "list"
## ..$ lhoods :List of 1
## .. ..$ :List of 17
## .. .. ..$ family : chr "T"
## .. .. ..$ formula :Class 'formula' language speed ~ .
## .. .. .. .. ..- attr(*, ".Environment")=<environment: 0x56444306fdb0>
## .. .. ..$ response_data :List of 4
## .. .. .. ..$ BRU_response: num [1:25842] 99.8 91.7 99.8 14.5 16.1 ...
## .. .. .. ..$ BRU_E : num 1
## .. .. .. ..$ BRU_Ntrials : num 1
## .. .. .. ..$ BRU_scale : num 1
## .. .. ..$ data :List of 8
## .. .. .. ..$ speed : num [1:25842] 99.8 91.7 99.8 14.5 16.1 ...
## .. .. .. ..$ SpeedLimit : num [1:25842] 4.09 4.09 4.09 -1.04 -1.04 ...
## .. .. .. ..$ .coord_x : num [1:25842] -122 -122 -122 -122 -122 ...
## .. .. .. ..$ .coord_y : num [1:25842] 37.7 37.7 37.7 37.8 37.8 ...
## .. .. .. ..$ .edge_number : num [1:25842] 2 2 2 3 3 3 5 6 6 6 ...
## .. .. .. ..$ .distance_on_edge: num [1:25842] 0.195 0.227 0.363 0.309 0.583 ...
## .. .. .. ..$ .group : chr [1:25842] "1" "1" "1" "1" ...
## .. .. .. ..$ loc : num [1:25842, 1:2] 2 2 2 3 3 3 5 6 6 6 ...
## .. .. .. ..- attr(*, "class")= chr [1:2] "metric_graph_data" "list"
## .. .. ..$ E : num 1
## .. .. ..$ Ntrials : num 1
## .. .. ..$ weights : num 1
## .. .. ..$ scale : num 1
## .. .. ..$ samplers : NULL
## .. .. ..$ linear : logi TRUE
## .. .. ..$ expr : NULL
## .. .. ..$ response : chr "BRU_response"
## .. .. ..$ inla.family : chr "T"
## .. .. ..$ domain : NULL
## .. .. ..$ used :List of 2
## .. .. .. ..$ effect: chr [1:3] "Intercept" "SpeedLimit" "field"
## .. .. .. ..$ latent: chr(0)
## .. .. .. ..- attr(*, "class")= chr "bru_used"
## .. .. ..$ allow_combine : logi TRUE
## .. .. ..$ control.family: NULL
## .. .. ..- attr(*, "class")= chr [1:2] "bru_like" "list"
## .. ..- attr(*, "class")= chr [1:2] "bru_like_list" "list"
## ..$ options :List of 14
## .. ..$ bru_verbose : num 0
## .. ..$ bru_verbose_store: num Inf
## .. ..$ bru_max_iter : num 1
## .. ..$ bru_run : logi TRUE
## .. ..$ bru_int_args :List of 3
## .. .. ..$ method: chr "stable"
## .. .. ..$ nsub1 : num 30
## .. .. ..$ nsub2 : num 9
## .. ..$ bru_method :List of 6
## .. .. ..$ taylor : chr "pandemic"
## .. .. ..$ search : chr "all"
## .. .. ..$ factor : num 1.62
## .. .. ..$ rel_tol : num 0.1
## .. .. ..$ max_step : num 2
## .. .. ..$ line_opt_method: chr "onestep"
## .. ..$ bru_compress_cp : logi TRUE
## .. ..$ bru_debug : logi FALSE
## .. ..$ E : num 1
## .. ..$ Ntrials : num 1
## .. ..$ control.compute :List of 3
## .. .. ..$ config: logi TRUE
## .. .. ..$ dic : logi TRUE
## .. .. ..$ waic : logi TRUE
## .. ..$ control.inla :List of 1
## .. .. ..$ int.strategy: chr "auto"
## .. ..$ control.fixed :List of 1
## .. .. ..$ expand.factor.strategy: chr "inla"
## .. ..$ verbose : logi FALSE
## .. ..- attr(*, "class")= chr [1:2] "bru_options" "list"
## ..$ inlabru_version: Named chr "2.10.1.9007"
## .. ..- attr(*, "names")= chr "version"
## ..$ INLA_version : Named chr "24.05.18-2"
## .. ..- attr(*, "names")= chr "version"
## ..- attr(*, "class")= chr [1:2] "bru_info" "list"
## - attr(*, "class")= chr [1:3] "bru" "iinla" "inla"## Time difference of 13.36144 mins## inlabru version: 2.10.1.9007
## INLA version: 24.05.18-2
## Components:
## Intercept: main = linear(1), group = exchangeable(1L), replicate = iid(1L)
## SpeedLimit: main = linear(SpeedLimit), group = exchangeable(1L), replicate = iid(1L)
## field: main = cgeneric(loc), group = exchangeable(1L), replicate = iid(data_rspde_bru_stat[["repl"]])
## Likelihoods:
## Family: 'T'
## Data class: 'metric_graph_data', 'list'
## Predictor: speed ~ .
## Time used:
## Pre = 0.684, Running = 669, Post = 7.03, Total = 677
## Fixed effects:
## mean sd 0.025quant 0.5quant 0.975quant mode kld
## Intercept 29.550 0.280 29.002 29.550 30.098 29.550 0
## SpeedLimit 7.246 0.184 6.884 7.246 7.606 7.246 0
##
## Random effects:
## Name Model
## field CGeneric
##
## Model hyperparameters:
## mean sd 0.025quant 0.5quant
## precision for the student-t observations 0.009 0.000 0.009 0.009
## degrees of freedom for student-t 7.788 0.170 7.507 7.777
## Theta1 for field 2.827 0.020 2.782 2.829
## Theta2 for field -1.231 0.043 -1.297 -1.236
## 0.975quant mode
## precision for the student-t observations 0.009 0.009
## degrees of freedom for student-t 8.172 7.704
## Theta1 for field 2.858 2.840
## Theta2 for field -1.132 -1.263
##
## Deviance Information Criterion (DIC) ...............: 2e+05
## Deviance Information Criterion (DIC, saturated) ....: -168807.49
## Effective number of parameters .....................: 6495.52
##
## Watanabe-Akaike information criterion (WAIC) ...: 200656.41
## Effective number of parameters .................: 5858.98
##
## Marginal log-Likelihood: -104203.12
## is computed
## Posterior summaries for the linear predictor and the fitted values are computed
## (Posterior marginals needs also 'control.compute=list(return.marginals.predictor=TRUE)')## mean sd 0.025quant 0.5quant 0.975quant mode
## std.dev 16.898800 0.3267790 16.167000 16.941700 17.414300 17.116700
## range 0.292308 0.0127092 0.273607 0.290192 0.322002 0.2827671.2 Nonstationary model
- Observe that we are using the computed parameters from the stationary model as initial values for the nonstationary models.
nonstat.time.ini <- Sys.time()
################################################################################
############################# NON STATIONARY MODEL #############################
################################################################################
B.sigma = cbind(0, 1, 0, mesh$SpeedLimit, 0)
B.range = cbind(0, 0, 1, 0, mesh$SpeedLimit)
init.vec.theta = c(fit.rspde$summary.log.std.dev$mode,
fit.rspde$summary.log.range$mode,
rep(0, (ncol(B.sigma)-3)))
rspde_model_nonstat <- rspde.metric_graph(sf_graph,
start.theta = init.vec.theta,
theta.prior.mean = init.vec.theta,
B.sigma = B.sigma,
B.range = B.range,
parameterization = "matern",
nu = 0.5)str(rspde_model_nonstat)
## List of 21
## $ f :List of 3
## ..$ model : chr "cgeneric"
## ..$ n : int 13932
## ..$ cgeneric:List of 5
## .. ..$ model: chr "inla_cgeneric_rspde_nonstat_int_model"
## .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. ..$ n : int 13932
## .. ..$ debug: logi FALSE
## .. ..$ data :List of 5
## .. .. ..$ ints :List of 5
## .. .. .. ..$ n : int 13932
## .. .. .. ..$ debug : int 0
## .. .. .. ..$ graph_opt_i: int [1:29068] 0 0 0 0 1 1 1 1 1 2 ...
## .. .. .. ..$ graph_opt_j: int [1:29068] 0 5681 8781 11463 1 8781 11429 11463 13882 2 ...
## .. .. .. ..$ alpha : int 1
## .. .. ..$ doubles :List of 2
## .. .. .. ..$ start.theta : num [1:4] 2.84 -1.26 0 0
## .. .. .. ..$ theta.prior.mean: num [1:4] 2.84 -1.26 0 0
## .. .. ..$ characters:List of 3
## .. .. .. ..$ model : chr "inla_cgeneric_rspde_nonstat_int_model"
## .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. ..$ matrices :List of 3
## .. .. .. ..$ B_tau : num [1:69662] 13932 5 -0.693 -1 0.5 ...
## .. .. .. ..$ B_kappa : num [1:69662] 13932 5 0.693 0 -1 ...
## .. .. .. ..$ theta.prior.prec: num [1:18] 4 4 0.1 0 0 0 0 0.1 0 0 ...
## .. .. ..$ smatrices :List of 2
## .. .. .. ..$ C: num [1:41799] 13932 13932 13932 0 1 ...
## .. .. .. ..$ G: num [1:132615] 13932 13932 44204 0 5681 ...
## .. ..- attr(*, "class")= chr "inla.cgeneric"
## $ cgeneric_type : chr "int_alpha"
## $ nu : num 0.5
## $ theta.prior.mean : num [1:4] 2.84 -1.26 0 0
## $ prior.nu :List of 4
## ..$ loglocation: num -5e-06
## ..$ mean : num 1
## ..$ prec : num 3
## ..$ logscale : num 1
## $ theta.prior.prec : num [1:4, 1:4] 0.1 0 0 0 0 0.1 0 0 0 0 ...
## $ start.nu : num 0.5
## $ integer.nu : logi TRUE
## $ start.theta : num [1:4] 2.84 -1.26 0 0
## $ stationary : logi FALSE
## $ rspde.order : num 2
## $ dim : num 1
## $ est_nu : logi FALSE
## $ nu.upper.bound : num 2
## $ prior.nu.dist : chr "lognormal"
## $ debug : logi FALSE
## $ type.rational.approx: chr "chebfun"
## $ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 5 7 9 9 10 12 13 14 15 12 18 19 21 20 22 24 26 28 30 ...
## edge_lengths: 0.0820202978316493 0.13610246403764 0.07378151878521 0.0 ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 11104
## nV: 8781
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.40171 -122.40078 -122.44449 -122.44331 -122.41216 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 5502 2 359 3 4077 4 5117 5 7 5419 8 9 10 11 4817 4613 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## $ fem_mesh :List of 4
## ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:13932] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. ..@ j : int [1:13932] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:13932] 0.0534 0.0776 0.0408 0.0457 0.0367 ...
## .. .. ..@ factors : list()
## ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:44204] 0 5681 8781 11463 1 8781 11429 11463 13882 2 ...
## .. .. ..@ p : int [1:13933] 0 4 9 12 15 18 23 26 29 34 ...
## .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:44204] 210.6 -161.9 -24.4 -24.4 103.4 ...
## .. .. ..@ factors : list()
## ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:81554] 0 1 5399 5681 8781 11463 0 1 4450 8781 ...
## .. .. ..@ p : int [1:13933] 0 6 13 18 23 28 37 42 47 56 ...
## .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:81554] 1731368 28997 607384 -2117274 -125237 ...
## .. .. ..@ factors : list()
## ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:124984] 0 1 805 5399 5681 8781 11429 11463 13882 0 ...
## .. .. ..@ p : int [1:13933] 0 9 18 25 32 43 56 65 72 85 ...
## .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:124984] 1.84e+10 1.88e+08 -4.79e+08 9.57e+09 -2.57e+10 ...
## .. .. ..@ factors : list()
## $ parameterization : chr "matern"
## $ n.spde : int 13932
## - attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"str(data_rspde_bru_nonstat)
## List of 4
## $ data :List of 8
## ..$ speed : num [1:25842] 99.8 91.7 99.8 14.5 16.1 ...
## ..$ SpeedLimit : num [1:25842] 4.09 4.09 4.09 -1.04 -1.04 ...
## ..$ .coord_x : num [1:25842] -122 -122 -122 -122 -122 ...
## ..$ .coord_y : num [1:25842] 37.7 37.7 37.7 37.8 37.8 ...
## ..$ .edge_number : num [1:25842] 2 2 2 3 3 3 5 6 6 6 ...
## ..$ .distance_on_edge: num [1:25842] 0.195 0.227 0.363 0.309 0.583 ...
## ..$ .group : chr [1:25842] "1" "1" "1" "1" ...
## ..$ loc : num [1:25842, 1:2] 2 2 2 3 3 3 5 6 6 6 ...
## ..- attr(*, "class")= chr [1:2] "metric_graph_data" "list"
## $ index:List of 3
## ..$ field : int [1:55728] 1 2 3 4 5 6 7 8 9 10 ...
## ..$ field.group: int [1:55728] 1 1 1 1 1 1 1 1 1 1 ...
## ..$ field.repl : int [1:55728] 1 1 1 1 1 1 1 1 1 1 ...
## ..- attr(*, "class")= chr [1:2] "inla_rspde_index" "list"
## ..- attr(*, "rspde.order")= num 0
## ..- attr(*, "integer_nu")= logi TRUE
## ..- attr(*, "n.mesh")= int 13932
## ..- attr(*, "name")= chr "field"
## ..- attr(*, "n.group")= int 1
## ..- attr(*, "n.repl")= int 4
## $ repl : chr [1:25842] "1" "1" "1" "1" ...
## $ basis:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. ..@ i : int [1:51684] 0 1 3 8 9 10 11 12 13 14 ...
## .. ..@ p : int [1:55729] 0 0 0 2 2 10 16 16 16 21 ...
## .. ..@ Dim : int [1:2] 25842 55728
## .. ..@ Dimnames:List of 2
## .. .. ..$ : NULL
## .. .. ..$ : NULL
## .. ..@ x : num [1:51684] 0.416 0.319 0.382 0.224 0.509 ...
## .. ..@ factors : list()cmp_nonstat = speed ~ -1 +
Intercept(1) +
SpeedLimit +
field(loc, model = rspde_model_nonstat,
replicate = data_rspde_bru_nonstat[["repl"]])
rspde_fit_nonstat <-
bru(cmp_nonstat,
data = data_rspde_bru_nonstat[["data"]],
family = "T",
options = list(verbose = FALSE)
)
##
## *** inla.core.safe: The inla program failed, but will rerun in case better initial values may help. try=1/1
##
## *** inla.core.safe: rerun with improved initial valuesstr(rspde_fit_nonstat)
## List of 56
## $ names.fixed : chr [1:2] "Intercept" "SpeedLimit"
## $ summary.fixed :'data.frame': 2 obs. of 7 variables:
## ..$ mean : num [1:2] 28.5 10.1
## ..$ sd : num [1:2] 0.181 0.16
## ..$ 0.025quant: num [1:2] 28.19 9.79
## ..$ 0.5quant : num [1:2] 28.5 10.1
## ..$ 0.975quant: num [1:2] 28.9 10.4
## ..$ mode : num [1:2] 28.5 10.1
## ..$ kld : num [1:2] 0 0
## $ marginals.fixed :List of 2
## ..$ Intercept : num [1:43, 1:2] 27.8 27.9 28 28.1 28.2 ...
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## ..$ SpeedLimit: num [1:43, 1:2] 9.42 9.51 9.61 9.73 9.79 ...
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## $ summary.lincomb :'data.frame': 0 obs. of 0 variables
## $ marginals.lincomb : NULL
## $ size.lincomb : NULL
## $ summary.lincomb.derived :'data.frame': 0 obs. of 0 variables
## $ marginals.lincomb.derived : NULL
## $ size.lincomb.derived : NULL
## $ mlik : num [1:2, 1] -108221 -108216
## ..- attr(*, "dimnames")=List of 2
## .. ..$ : chr [1:2] "log marginal-likelihood (integration)" "log marginal-likelihood (Gaussian)"
## .. ..$ : NULL
## $ cpo :List of 3
## ..$ cpo : logi(0)
## ..$ pit : logi(0)
## ..$ failure: logi(0)
## $ gcpo :List of 5
## ..$ gcpo : NULL
## ..$ kld : NULL
## ..$ mean : NULL
## ..$ sd : NULL
## ..$ groups: NULL
## $ po :List of 1
## ..$ po: num [1:25842] 0.0209 0.0322 0.0196 0.0348 0.0342 ...
## $ waic :List of 4
## ..$ waic : num 208425
## ..$ p.eff : num 3017
## ..$ local.waic : num [1:25842] 8.17 6.98 8.35 6.75 6.79 ...
## ..$ local.p.eff: num [1:25842] 0.2172 0.0532 0.2417 0.0149 0.0203 ...
## $ residuals :List of 1
## ..$ deviance.residuals: num [1:25842] 1.179 0.608 1.241 0 0 ...
## $ model.random : chr "CGeneric"
## $ summary.random :List of 1
## ..$ field:'data.frame': 55728 obs. of 8 variables:
## .. ..$ ID : num [1:55728] 1 2 3 4 5 6 7 8 9 10 ...
## .. ..$ mean : num [1:55728] -4.3 -2.71 20.85 19.8 -4.04 ...
## .. ..$ sd : num [1:55728] 5.42 5.65 6.27 8.37 3.83 ...
## .. ..$ 0.025quant: num [1:55728] -14.93 -13.78 8.57 3.4 -11.55 ...
## .. ..$ 0.5quant : num [1:55728] -4.3 -2.71 20.85 19.8 -4.04 ...
## .. ..$ 0.975quant: num [1:55728] 6.32 8.36 33.14 36.21 3.46 ...
## .. ..$ mode : num [1:55728] -4.3 -2.71 20.85 19.8 -4.04 ...
## .. ..$ kld : num [1:55728] 0 0 0 0 0 0 0 0 0 0 ...
## $ marginals.random :List of 1
## ..$ field:List of 55728
## .. ..$ index.1 : num [1:43, 1:2] -27.4 -24.5 -21.1 -16.9 -14.9 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.2 : num [1:43, 1:2] -26.8 -23.7 -20.2 -15.9 -13.8 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.3 : num [1:43, 1:2] -5.87 -2.45 1.49 6.27 8.57 ...
## .. .. ..- attr(*, "dimnames")=List of 2
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## .. ..$ n : num 13932
## .. ..$ N : num 13932
## .. ..$ Ntotal: num 55728
## .. ..$ ngroup: num 1
## .. ..$ nrep : num 4
## $ summary.linear.predictor :'data.frame': 81572 obs. of 7 variables:
## ..$ mean : num [1:81572] 90 89.9 89.3 16.2 18.2 ...
## ..$ sd : num [1:81572] 4.82 4.77 4.97 3.07 3.27 ...
## ..$ 0.025quant: num [1:81572] 80.5 80.5 79.5 10.2 11.7 ...
## ..$ 0.5quant : num [1:81572] 90 89.9 89.3 16.2 18.2 ...
## ..$ 0.975quant: num [1:81572] 99.4 99.2 99 22.2 24.6 ...
## ..$ mode : num [1:81572] 90 89.9 89.3 16.2 18.2 ...
## ..$ kld : num [1:81572] 0 0 0 0 0 0 0 0 0 0 ...
## $ marginals.linear.predictor : NULL
## $ summary.fitted.values :'data.frame': 81572 obs. of 6 variables:
## ..$ mean : num [1:81572] 90 89.9 89.3 16.2 18.2 ...
## ..$ sd : num [1:81572] 4.82 4.77 4.97 3.07 3.27 ...
## ..$ 0.025quant: num [1:81572] 80.5 80.5 79.5 10.2 11.7 ...
## ..$ 0.5quant : num [1:81572] 90 89.9 89.3 16.2 18.2 ...
## ..$ 0.975quant: num [1:81572] 99.4 99.2 99 22.2 24.6 ...
## ..$ mode : num [1:81572] 90 89.9 89.3 16.2 18.2 ...
## $ marginals.fitted.values : NULL
## $ size.linear.predictor :List of 5
## ..$ n : num 55730
## ..$ N : num 55730
## ..$ Ntotal: num 81572
## ..$ ngroup: num 1
## ..$ nrep : num 2
## $ summary.hyperpar :'data.frame': 6 obs. of 6 variables:
## ..$ mean : num [1:6] 0.000633 2.117709 2.139948 -0.957579 0.020587 ...
## ..$ sd : num [1:6] 1.96e-07 6.07e-05 4.29e-04 4.23e-04 3.80e-04 ...
## ..$ 0.025quant: num [1:6] 0.000633 2.117619 2.139018 -0.958303 0.019864 ...
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## ..$ 0.975quant: num [1:6] 0.000634 2.11785 2.140693 -0.956654 0.021362 ...
## ..$ mode : num [1:6] 0.000633 2.117659 2.140115 -0.957762 0.02054 ...
## $ marginals.hyperpar :List of 6
## ..$ precision for the student-t observations: num [1:43, 1:2] 0.000633 0.000633 0.000633 0.000633 0.000633 ...
## .. ..- attr(*, "hyperid")= chr "100001|INLA.Data1"
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## ..$ degrees of freedom for student-t : num [1:43, 1:2] 2.12 2.12 2.12 2.12 2.12 ...
## .. ..- attr(*, "hyperid")= chr "100002|INLA.Data1"
## .. ..- attr(*, "dimnames")=List of 2
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## .. .. ..$ : chr [1:2] "x" "y"
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## .. ..- attr(*, "hyperid")= chr ""
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
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## .. ..- attr(*, "hyperid")= chr ""
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
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## .. ..- attr(*, "hyperid")= chr ""
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
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## .. ..- attr(*, "hyperid")= chr ""
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## $ internal.summary.hyperpar :'data.frame': 6 obs. of 6 variables:
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## ..$ sd : num [1:6] 0.000309 0.000514 0.000429 0.000423 0.00038 ...
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## ..$ 0.5quant : num [1:6] -7.3645 -2.1396 2.14 -0.9576 0.0206 ...
## ..$ 0.975quant: num [1:6] -7.3639 -2.1383 2.1407 -0.9567 0.0214 ...
## ..$ mode : num [1:6] -7.3646 -2.14 2.1401 -0.9578 0.0205 ...
## $ internal.marginals.hyperpar:List of 6
## ..$ log precision for the student-t observations: num [1:43, 1:2] -7.37 -7.37 -7.37 -7.37 -7.37 ...
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## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## ..$ dof_intern for student-t : num [1:43, 1:2] -2.14 -2.14 -2.14 -2.14 -2.14 ...
## .. ..- attr(*, "hyperid")= chr "100002|INLA.Data1"
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## ..$ Theta1 for field : num [1:43, 1:2] 2.14 2.14 2.14 2.14 2.14 ...
## .. ..- attr(*, "hyperid")= chr ""
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
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## .. ..- attr(*, "hyperid")= chr ""
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## ..$ Theta3 for field : num [1:43, 1:2] 0.0191 0.0192 0.0195 0.0197 0.0199 ...
## .. ..- attr(*, "hyperid")= chr ""
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## ..$ Theta4 for field : num [1:43, 1:2] -0.0883 -0.0881 -0.0878 -0.0874 -0.0873 ...
## .. ..- attr(*, "hyperid")= chr ""
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## $ offset.linear.predictor : num [1:81572] 0 0 0 0 0 0 0 0 0 0 ...
## $ model.spde2.blc : NULL
## $ summary.spde2.blc : list()
## $ marginals.spde2.blc : NULL
## $ size.spde2.blc : NULL
## $ model.spde3.blc : NULL
## $ summary.spde3.blc : list()
## $ marginals.spde3.blc : NULL
## $ size.spde3.blc : NULL
## $ logfile : chr [1:6776] "[PANUA] PARDISO License is expired." "[PANUA] Please obtain a new PARDISO license at https://www.panua.ch/products/pardiso" " Read ntt 24 1 with max.threads 24" " Found num.threads = 24:1 max_threads = 24" ...
## $ misc :List of 22
## ..$ cov.intern : num [1:6, 1:6] 1.61e-07 7.63e-09 1.42e-09 -8.40e-10 -8.79e-10 ...
## ..$ cor.intern : num [1:6, 1:6] 1 0.04623 0.00802 -0.00508 -0.00495 ...
## ..$ cov.intern.eigenvalues : num [1:6] 2.36e-07 1.47e-07 1.54e-07 1.80e-07 1.73e-07 ...
## ..$ cov.intern.eigenvectors : num [1:6, 1:6] 0.00469 0.07942 -0.69641 0.0472 0.7014 ...
## ..$ reordering : int [1:55730] 7448 7463 1120 1132 10042 10054 10041 10050 10055 10033 ...
## ..$ theta.tags : chr [1:6] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## ..$ log.posterior.mode : num -108174
## ..$ stdev.corr.negative : num [1:6] 0.669 0.744 0.609 0.735 0.43 ...
## ..$ stdev.corr.positive : num [1:6] 1.49 1.34 1.64 1.36 2.33 ...
## ..$ to.theta :List of 6
## .. ..$ log precision for the student-t observations:function (x)
## .. ..$ dof_intern for student-t :function (x)
## .. ..$ Theta1 for field :function (x)
## .. ..$ Theta2 for field :function (x)
## .. ..$ Theta3 for field :function (x)
## .. ..$ Theta4 for field :function (x)
## ..$ from.theta :List of 6
## .. ..$ log precision for the student-t observations:function (x)
## .. ..$ dof_intern for student-t :function (x)
## .. ..$ Theta1 for field :function (x)
## .. ..$ Theta2 for field :function (x)
## .. ..$ Theta3 for field :function (x)
## .. ..$ Theta4 for field :function (x)
## ..$ mode.status : num 0
## ..$ lincomb.derived.correlation.matrix: NULL
## ..$ lincomb.derived.covariance.matrix : NULL
## ..$ opt.directions : num [1:6, 1:6] 0.5691 -0.3864 0.7059 -0.1685 0.0107 ...
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## .. .. ..$ : chr [1:6] "dir:1" "dir:2" "dir:3" "dir:4" ...
## ..$ configs :List of 17
## .. ..$ .preopt : logi TRUE
## .. ..$ lite : logi FALSE
## .. ..$ mpred : int 25842
## .. ..$ npred : int 55730
## .. ..$ mnpred : int 81572
## .. ..$ Npred : int 25842
## .. ..$ n : int 55730
## .. ..$ nz : int 153769
## .. ..$ prior_nz : int 116274
## .. ..$ ntheta : int 6
## .. ..$ nconfig : int 45
## .. ..$ offsets : num [1:81572] 0 0 0 0 0 0 0 0 0 0 ...
## .. ..$ contents :List of 3
## .. .. ..$ tag : chr [1:5] "APredictor" "Predictor" "field" "Intercept" ...
## .. .. ..$ start : int [1:5] 1 25843 81573 137301 137302
## .. .. ..$ length: int [1:5] 25842 55730 55728 1 1
## .. ..$ A :Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. ..@ i : int [1:55730] 2 3 4 5 6 7 8 9 10 11 ...
## .. .. .. ..@ j : int [1:55730] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. ..$ : NULL
## .. .. .. .. ..$ : NULL
## .. .. .. ..@ x : num [1:55730] 1 1 1 1 1 1 1 1 1 1 ...
## .. .. .. ..@ factors : list()
## .. ..$ pA :Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. ..@ i : int [1:103342] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. ..@ j : int [1:103342] 0 0 0 0 0 0 0 0 0 0 ...
## .. .. .. ..@ Dim : int [1:2] 25842 55730
## .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. ..$ : NULL
## .. .. .. .. ..$ : NULL
## .. .. .. ..@ x : num [1:103342] 1 1 1 1 1 1 1 1 1 1 ...
## .. .. .. ..@ factors : list()
## .. ..$ config :List of 45
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -7.3646 -2.14 2.1401 -0.9578 0.0205 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -5.2
## .. .. .. ..$ log.posterior.orig: num 0
## .. .. .. ..$ mean : num [1:55730] -4.37 -2.76 20.28 19.38 -4.17 ...
## .. .. .. ..$ improved.mean : num [1:55730] -4.3 -2.71 20.85 19.8 -4.04 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.3101 0.1541 0.051 0.0435 0.0828 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 29.4 31.9 39.3 70.1 14.7 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.3101 0.1541 0.0488 0.0435 0.0533 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
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## .. .. .. .. .. ..$ : NULL
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## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
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## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.1078 0.0282 0.1101 -0.0285 -0.0342 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 90 89.9 89.3 16.2 18.2 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 28.54 10.1 -4.3 -2.71 20.85 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -7.3646 -2.1398 2.1388 -0.9577 0.0219 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -1798
## .. .. .. ..$ log.posterior.orig: num -1794
## .. .. .. ..$ mean : num [1:55730] -3.04 -1.75 17 14.3 -3.28 ...
## .. .. .. ..$ improved.mean : num [1:55730] -3.1 -1.78 18.03 14.91 -3.81 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.3116 0.1548 0.0502 0.0433 0.0826 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 23.7 25.2 39.9 63.1 14.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
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## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.3116 0.1548 0.0486 0.0433 0.0531 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
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## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
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## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.1131 0.0586 0.1138 -0.027 -0.0307 ...
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## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 87.5 87.4 86.8 16.2 18.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 28.45 10.18 -3.1 -1.78 18.03 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
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## .. .. .. ..$ theta : Named num [1:6] -7.3646 -2.1401 2.1407 -0.9578 0.0199 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -1797
## .. .. .. ..$ log.posterior.orig: num -1793
## .. .. .. ..$ mean : num [1:55730] -3.04 -1.76 16.94 14.26 -3.27 ...
## .. .. .. ..$ improved.mean : num [1:55730] -3.1 -1.79 17.98 14.88 -3.8 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.3094 0.1538 0.0505 0.0436 0.0829 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 23.9 25.4 39.6 62.7 14.3 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
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## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.3094 0.1538 0.0489 0.0436 0.0534 ...
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## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
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## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.1131 0.0584 0.1138 -0.027 -0.0307 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 87.5 87.4 86.8 16.2 18.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 28.45 10.18 -3.1 -1.79 17.98 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -7.3655 -2.1394 2.1405 -0.9581 0.0208 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -1798
## .. .. .. ..$ log.posterior.orig: num -1794
## .. .. .. ..$ mean : num [1:55730] -3.04 -1.75 16.96 14.28 -3.27 ...
## .. .. .. ..$ improved.mean : num [1:55730] -3.1 -1.78 18 14.89 -3.8 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.3097 0.1539 0.0503 0.0434 0.0827 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 23.9 25.3 39.7 62.9 14.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.3097 0.1539 0.0487 0.0434 0.0533 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.113 0.0584 0.1137 -0.027 -0.0307 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 87.5 87.4 86.8 16.2 18.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 28.45 10.18 -3.1 -1.78 18 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -7.3641 -2.1403 2.1399 -0.9576 0.0204 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -1797
## .. .. .. ..$ log.posterior.orig: num -1793
## .. .. .. ..$ mean : num [1:55730] -3.04 -1.76 16.96 14.27 -3.27 ...
## .. .. .. ..$ improved.mean : num [1:55730] -3.1 -1.79 17.99 14.89 -3.8 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.3103 0.1542 0.0504 0.0435 0.0828 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 23.8 25.3 39.7 62.8 14.3 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.3103 0.1542 0.0488 0.0435 0.0533 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.1131 0.0585 0.1138 -0.027 -0.0307 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 87.5 87.4 86.8 16.2 18.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 28.45 10.18 -3.1 -1.79 17.99 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -7.3652 -2.1397 2.1392 -0.9571 0.0195 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -1797
## .. .. .. ..$ log.posterior.orig: num -1794
## .. .. .. ..$ mean : num [1:55730] -3.05 -1.76 16.89 14.23 -3.25 ...
## .. .. .. ..$ improved.mean : num [1:55730] -3.1 -1.79 17.92 14.84 -3.78 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.3103 0.1542 0.0508 0.0439 0.0833 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 23.8 25.3 39.4 62.4 14.3 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.3103 0.1542 0.0492 0.0439 0.0538 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.113 0.0587 0.1137 -0.0271 -0.0307 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 87.5 87.4 86.8 16.2 18.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 28.45 10.18 -3.1 -1.79 17.92 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -7.3644 -2.1401 2.1405 -0.958 0.0209 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -1797
## .. .. .. ..$ log.posterior.orig: num -1793
## .. .. .. ..$ mean : num [1:55730] -3.04 -1.75 16.98 14.29 -3.28 ...
## .. .. .. ..$ improved.mean : num [1:55730] -3.1 -1.78 18.02 14.91 -3.81 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.31 0.154 0.0502 0.0433 0.0826 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 23.8 25.3 39.8 63 14.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.31 0.154 0.0486 0.0433 0.0531 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.1131 0.0584 0.1138 -0.027 -0.0307 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 87.5 87.4 86.8 16.2 18.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 28.45 10.18 -3.1 -1.78 18.02 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -7.3652 -2.1395 2.14 -0.9581 0.0206 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -1798
## .. .. .. ..$ log.posterior.orig: num -1794
## .. .. .. ..$ mean : num [1:55730] -3.04 -1.75 16.98 14.28 -3.28 ...
## .. .. .. ..$ improved.mean : num [1:55730] -3.1 -1.78 18.01 14.89 -3.81 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.3104 0.1542 0.0502 0.0433 0.0826 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 23.8 25.3 39.8 63 14.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.3104 0.1542 0.0486 0.0433 0.0531 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.113 0.0585 0.1137 -0.0269 -0.0307 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 87.5 87.4 86.8 16.2 18.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 28.45 10.18 -3.1 -1.78 18.01 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -7.3643 -2.1403 2.1402 -0.9576 0.0205 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -1797
## .. .. .. ..$ log.posterior.orig: num -1793
## .. .. .. ..$ mean : num [1:55730] -3.04 -1.76 16.95 14.27 -3.27 ...
## .. .. .. ..$ improved.mean : num [1:55730] -3.1 -1.79 17.99 14.89 -3.8 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.3099 0.154 0.0505 0.0436 0.0829 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 23.9 25.3 39.6 62.7 14.3 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.3099 0.154 0.0489 0.0436 0.0534 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.1131 0.0584 0.1138 -0.027 -0.0307 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 87.5 87.4 86.8 16.2 18.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 28.45 10.18 -3.1 -1.79 17.99 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -7.3632 -2.1378 2.1402 -0.9575 0.0203 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -1797
## .. .. .. ..$ log.posterior.orig: num -1793
## .. .. .. ..$ mean : num [1:55730] -3.04 -1.75 16.95 14.27 -3.27 ...
## .. .. .. ..$ improved.mean : num [1:55730] -3.1 -1.78 17.98 14.88 -3.8 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.31 0.154 0.0504 0.0435 0.0829 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 23.8 25.3 39.6 62.8 14.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.31 0.154 0.0488 0.0435 0.0534 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.113 0.0585 0.1137 -0.027 -0.0307 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 87.5 87.4 86.8 16.2 18.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 28.45 10.18 -3.1 -1.78 17.98 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -7.3649 -2.1404 2.1401 -0.9578 0.0206 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -1797
## .. .. .. ..$ log.posterior.orig: num -1793
## .. .. .. ..$ mean : num [1:55730] -3.04 -1.75 16.96 14.28 -3.27 ...
## .. .. .. ..$ improved.mean : num [1:55730] -3.1 -1.78 18 14.89 -3.8 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.3101 0.1541 0.0504 0.0435 0.0828 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 23.8 25.3 39.7 62.9 14.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.3101 0.1541 0.0488 0.0435 0.0533 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.1131 0.0585 0.1138 -0.027 -0.0307 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 87.5 87.4 86.8 16.2 18.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 28.45 10.18 -3.1 -1.78 18 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -7.365 -2.14 2.141 -0.956 0.021 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -1798
## .. .. .. ..$ log.posterior.orig: num -1794
## .. .. .. ..$ mean : num [1:55730] -3.04 -1.76 16.99 14.3 -3.28 ...
## .. .. .. ..$ improved.mean : num [1:55730] -3.1 -1.79 18.03 14.92 -3.81 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.3105 0.1543 0.0503 0.0434 0.0827 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 23.8 25.3 39.8 63 14.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.3105 0.1543 0.0486 0.0434 0.0532 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.113 0.0584 0.1138 -0.027 -0.0307 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 87.5 87.4 86.8 16.2 18.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 28.46 10.18 -3.1 -1.79 18.03 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -7.3645 -2.14 2.1399 -0.9585 0.0203 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -1797
## .. .. .. ..$ log.posterior.orig: num -1793
## .. .. .. ..$ mean : num [1:55730] -3.04 -1.75 16.94 14.26 -3.27 ...
## .. .. .. ..$ improved.mean : num [1:55730] -3.1 -1.78 17.98 14.87 -3.8 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.3099 0.154 0.0504 0.0435 0.0829 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 23.8 25.3 39.6 62.8 14.3 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.3099 0.154 0.0488 0.0435 0.0534 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.1131 0.0585 0.1138 -0.027 -0.0307 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 87.5 87.4 86.8 16.2 18.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 28.45 10.18 -3.1 -1.78 17.98 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -7.3635 -2.1394 2.1404 -0.9579 0.0202 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -1796
## .. .. .. ..$ log.posterior.orig: num -1793
## .. .. .. ..$ mean : num [1:55730] -3.04 -1.75 16.95 14.27 -3.27 ...
## .. .. .. ..$ improved.mean : num [1:55730] -3.1 -1.79 17.98 14.88 -3.8 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.3097 0.1539 0.0505 0.0435 0.0829 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 23.9 25.3 39.6 62.8 14.3 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.3097 0.1539 0.0488 0.0435 0.0534 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.1131 0.0584 0.1138 -0.027 -0.0307 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 87.5 87.4 86.8 16.2 18.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 28.45 10.18 -3.1 -1.79 17.98 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -7.3637 -2.1394 2.1407 -0.9571 0.0205 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -1797
## .. .. .. ..$ log.posterior.orig: num -1793
## .. .. .. ..$ mean : num [1:55730] -3.05 -1.76 16.97 14.29 -3.27 ...
## .. .. .. ..$ improved.mean : num [1:55730] -3.1 -1.79 18.01 14.9 -3.8 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.3099 0.154 0.0504 0.0435 0.0828 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 23.9 25.3 39.7 62.9 14.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.3099 0.154 0.0488 0.0435 0.0533 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.1131 0.0584 0.1138 -0.027 -0.0307 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 87.5 87.4 86.8 16.2 18.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 28.45 10.18 -3.1 -1.79 18.01 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -7.3646 -2.1402 2.1403 -0.9582 0.0203 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -1797
## .. .. .. ..$ log.posterior.orig: num -1793
## .. .. .. ..$ mean : num [1:55730] -3.04 -1.75 16.96 14.27 -3.28 ...
## .. .. .. ..$ improved.mean : num [1:55730] -3.1 -1.78 18 14.89 -3.8 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.31 0.154 0.0503 0.0434 0.0827 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 23.8 25.3 39.7 62.9 14.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.31 0.154 0.0487 0.0434 0.0532 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.1131 0.0585 0.1138 -0.027 -0.0307 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 87.5 87.4 86.8 16.2 18.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 28.45 10.18 -3.1 -1.78 18 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -7.3648 -2.1402 2.1406 -0.9574 0.0206 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -1797
## .. .. .. ..$ log.posterior.orig: num -1793
## .. .. .. ..$ mean : num [1:55730] -3.04 -1.75 16.98 14.29 -3.28 ...
## .. .. .. ..$ improved.mean : num [1:55730] -3.1 -1.78 18.02 14.91 -3.81 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.3102 0.1541 0.0502 0.0433 0.0826 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 23.8 25.3 39.8 63 14.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.3102 0.1541 0.0486 0.0433 0.0532 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.1131 0.0584 0.1138 -0.027 -0.0307 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 87.5 87.4 86.8 16.2 18.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 28.45 10.18 -3.1 -1.78 18.02 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -7.3646 -2.1403 2.1398 -0.9577 0.0197 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -1797
## .. .. .. ..$ log.posterior.orig: num -1793
## .. .. .. ..$ mean : num [1:55730] -3.05 -1.76 16.92 14.24 -3.26 ...
## .. .. .. ..$ improved.mean : num [1:55730] -3.1 -1.79 17.95 14.86 -3.79 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.3099 0.154 0.0507 0.0437 0.0831 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 23.9 25.3 39.5 62.5 14.3 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.3099 0.154 0.049 0.0437 0.0536 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.1131 0.0585 0.1138 -0.0271 -0.0307 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 87.5 87.4 86.8 16.2 18.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 28.45 10.18 -3.1 -1.79 17.95 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -7.365 -2.14 2.14 -0.957 0.02 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -1797
## .. .. .. ..$ log.posterior.orig: num -1793
## .. .. .. ..$ mean : num [1:55730] -3.05 -1.76 16.93 14.26 -3.26 ...
## .. .. .. ..$ improved.mean : num [1:55730] -3.1 -1.79 17.97 14.88 -3.79 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.3101 0.1541 0.0506 0.0437 0.083 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 23.9 25.3 39.5 62.6 14.3 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.3101 0.1541 0.049 0.0437 0.0535 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.1131 0.0585 0.1138 -0.0271 -0.0307 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 87.5 87.4 86.8 16.2 18.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 28.45 10.18 -3.1 -1.79 17.97 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -7.3643 -2.139 2.1398 -0.9577 0.0196 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -1797
## .. .. .. ..$ log.posterior.orig: num -1793
## .. .. .. ..$ mean : num [1:55730] -3.04 -1.76 16.92 14.24 -3.26 ...
## .. .. .. ..$ improved.mean : num [1:55730] -3.1 -1.79 17.95 14.86 -3.79 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.31 0.154 0.0506 0.0437 0.083 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 23.9 25.3 39.6 62.6 14.3 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.31 0.154 0.049 0.0437 0.0535 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.113 0.0586 0.1137 -0.027 -0.0307 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 87.5 87.4 86.8 16.2 18.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 28.45 10.18 -3.1 -1.79 17.95 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -7.3644 -2.139 2.1401 -0.9569 0.0199 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -1798
## .. .. .. ..$ log.posterior.orig: num -1794
## .. .. .. ..$ mean : num [1:55730] -3.04 -1.76 16.94 14.26 -3.27 ...
## .. .. .. ..$ improved.mean : num [1:55730] -3.1 -1.79 17.97 14.88 -3.8 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.3103 0.1542 0.0505 0.0436 0.0829 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 23.8 25.3 39.6 62.7 14.3 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.3103 0.1542 0.0489 0.0436 0.0534 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.113 0.0585 0.1137 -0.027 -0.0307 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 87.5 87.4 86.8 16.2 18.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 28.45 10.18 -3.1 -1.79 17.97 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -7.3648 -2.1401 2.1406 -0.9583 0.0205 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -1797
## .. .. .. ..$ log.posterior.orig: num -1793
## .. .. .. ..$ mean : num [1:55730] -3.04 -1.75 16.95 14.27 -3.27 ...
## .. .. .. ..$ improved.mean : num [1:55730] -3.1 -1.78 17.99 14.89 -3.8 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.3095 0.1538 0.0504 0.0435 0.0828 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 23.9 25.4 39.6 62.8 14.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.3095 0.1538 0.0488 0.0435 0.0533 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.1131 0.0584 0.1137 -0.027 -0.0307 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 87.5 87.4 86.8 16.2 18.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 28.45 10.18 -3.1 -1.78 17.99 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -7.3649 -2.1401 2.1409 -0.9574 0.0207 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -1797
## .. .. .. ..$ log.posterior.orig: num -1793
## .. .. .. ..$ mean : num [1:55730] -3.04 -1.75 16.97 14.29 -3.28 ...
## .. .. .. ..$ improved.mean : num [1:55730] -3.1 -1.79 18.01 14.91 -3.81 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.3097 0.1539 0.0503 0.0434 0.0827 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 23.9 25.3 39.7 62.9 14.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.3097 0.1539 0.0487 0.0434 0.0532 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.113 0.0583 0.1137 -0.027 -0.0307 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 87.5 87.4 86.8 16.2 18.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 28.45 10.17 -3.1 -1.79 18.01 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -7.3645 -2.1387 2.1406 -0.9583 0.0204 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -1797
## .. .. .. ..$ log.posterior.orig: num -1794
## .. .. .. ..$ mean : num [1:55730] -3.04 -1.75 16.96 14.27 -3.27 ...
## .. .. .. ..$ improved.mean : num [1:55730] -3.1 -1.78 18 14.88 -3.8 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.3097 0.1539 0.0503 0.0434 0.0827 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 23.9 25.3 39.7 62.9 14.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.3097 0.1539 0.0487 0.0434 0.0532 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.113 0.0584 0.1137 -0.027 -0.0307 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 87.5 87.4 86.8 16.2 18.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 28.45 10.18 -3.1 -1.78 18 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -7.3646 -2.1387 2.1409 -0.9575 0.0207 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -1798
## .. .. .. ..$ log.posterior.orig: num -1794
## .. .. .. ..$ mean : num [1:55730] -3.04 -1.75 16.98 14.29 -3.28 ...
## .. .. .. ..$ improved.mean : num [1:55730] -3.1 -1.78 18.02 14.9 -3.81 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.3099 0.154 0.0502 0.0433 0.0826 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 23.9 25.3 39.8 63 14.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.3099 0.154 0.0486 0.0433 0.0532 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.113 0.0584 0.1137 -0.0269 -0.0307 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 87.5 87.4 86.8 16.2 18.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 28.45 10.18 -3.1 -1.78 18.02 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -7.3644 -2.1389 2.1401 -0.9578 0.0198 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -1797
## .. .. .. ..$ log.posterior.orig: num -1793
## .. .. .. ..$ mean : num [1:55730] -3.04 -1.76 16.91 14.24 -3.26 ...
## .. .. .. ..$ improved.mean : num [1:55730] -3.1 -1.79 17.94 14.85 -3.79 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.3096 0.1538 0.0507 0.0437 0.0831 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 23.9 25.4 39.5 62.5 14.3 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.3096 0.1538 0.049 0.0437 0.0536 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.113 0.0585 0.1137 -0.0271 -0.0307 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 87.5 87.4 86.8 16.2 18.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 28.45 10.18 -3.1 -1.79 17.94 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -7.365 -2.139 2.14 -0.957 0.02 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -1798
## .. .. .. ..$ log.posterior.orig: num -1794
## .. .. .. ..$ mean : num [1:55730] -3.05 -1.76 16.93 14.26 -3.26 ...
## .. .. .. ..$ improved.mean : num [1:55730] -3.1 -1.79 17.96 14.87 -3.79 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.3098 0.1539 0.0506 0.0437 0.083 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 23.9 25.4 39.6 62.6 14.3 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.3098 0.1539 0.049 0.0437 0.0535 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.113 0.0584 0.1137 -0.027 -0.0307 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 87.5 87.4 86.8 16.2 18.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 28.45 10.18 -3.1 -1.79 17.96 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -7.3655 -2.1396 2.14 -0.9581 0.0199 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -1798
## .. .. .. ..$ log.posterior.orig: num -1794
## .. .. .. ..$ mean : num [1:55730] -3.04 -1.75 16.93 14.25 -3.26 ...
## .. .. .. ..$ improved.mean : num [1:55730] -3.1 -1.78 17.96 14.86 -3.79 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.3098 0.1539 0.0505 0.0436 0.0829 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 23.9 25.3 39.6 62.7 14.3 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.3098 0.1539 0.0489 0.0436 0.0535 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.113 0.0585 0.1137 -0.027 -0.0307 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 87.5 87.4 86.8 16.2 18.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 28.45 10.18 -3.1 -1.78 17.96 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -7.3657 -2.1396 2.1403 -0.9572 0.0202 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -1798
## .. .. .. ..$ log.posterior.orig: num -1794
## .. .. .. ..$ mean : num [1:55730] -3.04 -1.76 16.95 14.27 -3.27 ...
## .. .. .. ..$ improved.mean : num [1:55730] -3.1 -1.79 17.98 14.88 -3.8 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.3101 0.1541 0.0504 0.0435 0.0828 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 23.9 25.3 39.7 62.8 14.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.3101 0.1541 0.0488 0.0435 0.0534 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.113 0.0585 0.1137 -0.027 -0.0307 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 87.5 87.4 86.8 16.2 18.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 28.45 10.18 -3.1 -1.79 17.98 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -7.3642 -2.1404 2.1395 -0.958 0.0211 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -1797
## .. .. .. ..$ log.posterior.orig: num -1793
## .. .. .. ..$ mean : num [1:55730] -3.04 -1.75 16.98 14.29 -3.28 ...
## .. .. .. ..$ improved.mean : num [1:55730] -3.1 -1.78 18.01 14.9 -3.81 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.3106 0.1543 0.0503 0.0434 0.0827 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 23.8 25.3 39.7 62.9 14.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.3106 0.1543 0.0487 0.0434 0.0532 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.1131 0.0585 0.1138 -0.027 -0.0307 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 87.5 87.4 86.8 16.2 18.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 28.45 10.18 -3.1 -1.78 18.01 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -7.3644 -2.1404 2.1399 -0.9572 0.0214 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -1797
## .. .. .. ..$ log.posterior.orig: num -1793
## .. .. .. ..$ mean : num [1:55730] -3.04 -1.75 17 14.3 -3.28 ...
## .. .. .. ..$ improved.mean : num [1:55730] -3.1 -1.78 18.03 14.92 -3.81 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.3108 0.1544 0.0502 0.0433 0.0827 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 23.8 25.3 39.8 63.1 14.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.3108 0.1544 0.0486 0.0433 0.0532 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.1131 0.0585 0.1138 -0.027 -0.0307 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 87.5 87.4 86.8 16.2 18.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 28.46 10.18 -3.1 -1.78 18.03 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -7.3639 -2.139 2.1395 -0.9581 0.0211 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -1797
## .. .. .. ..$ log.posterior.orig: num -1793
## .. .. .. ..$ mean : num [1:55730] -3.04 -1.75 16.98 14.29 -3.28 ...
## .. .. .. ..$ improved.mean : num [1:55730] -3.1 -1.78 18.02 14.9 -3.81 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.3108 0.1544 0.0502 0.0433 0.0826 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 23.8 25.3 39.8 63 14.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.3108 0.1544 0.0486 0.0433 0.0531 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.1131 0.0586 0.1138 -0.027 -0.0307 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 87.5 87.4 86.8 16.2 18.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 28.45 10.18 -3.1 -1.78 18.02 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -7.3641 -2.139 2.1398 -0.9572 0.0213 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -1798
## .. .. .. ..$ log.posterior.orig: num -1794
## .. .. .. ..$ mean : num [1:55730] -3.04 -1.75 17 14.3 -3.28 ...
## .. .. .. ..$ improved.mean : num [1:55730] -3.1 -1.78 18.04 14.92 -3.81 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.311 0.1545 0.0502 0.0433 0.0826 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 23.8 25.3 39.9 63.1 14.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.311 0.1545 0.0485 0.0433 0.0531 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.113 0.0585 0.1138 -0.0269 -0.0307 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 87.5 87.4 86.8 16.2 18.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 28.46 10.18 -3.1 -1.78 18.04 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -7.3639 -2.1392 2.139 -0.9575 0.0204 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -1797
## .. .. .. ..$ log.posterior.orig: num -1793
## .. .. .. ..$ mean : num [1:55730] -3.04 -1.75 16.93 14.26 -3.26 ...
## .. .. .. ..$ improved.mean : num [1:55730] -3.1 -1.78 17.96 14.87 -3.79 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.3107 0.1544 0.0506 0.0437 0.083 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 23.8 25.3 39.6 62.7 14.3 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.3107 0.1544 0.049 0.0437 0.0535 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.1131 0.0586 0.1138 -0.0271 -0.0307 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 87.5 87.4 86.8 16.2 18.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 28.45 10.18 -3.1 -1.78 17.96 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -7.364 -2.1392 2.1394 -0.9567 0.0207 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -1797
## .. .. .. ..$ log.posterior.orig: num -1794
## .. .. .. ..$ mean : num [1:55730] -3.04 -1.76 16.95 14.28 -3.27 ...
## .. .. .. ..$ improved.mean : num [1:55730] -3.1 -1.79 17.99 14.89 -3.8 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.3109 0.1545 0.0505 0.0436 0.0829 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 23.8 25.3 39.7 62.8 14.3 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.3109 0.1545 0.0489 0.0436 0.0534 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.1131 0.0586 0.1138 -0.027 -0.0307 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 87.5 87.4 86.8 16.2 18.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 28.45 10.18 -3.1 -1.79 17.99 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -7.3649 -2.1399 2.1389 -0.9578 0.0205 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -1797
## .. .. .. ..$ log.posterior.orig: num -1794
## .. .. .. ..$ mean : num [1:55730] -3.04 -1.75 16.95 14.26 -3.27 ...
## .. .. .. ..$ improved.mean : num [1:55730] -3.1 -1.78 17.98 14.87 -3.8 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.311 0.1545 0.0504 0.0435 0.0829 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 23.8 25.3 39.7 62.8 14.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.311 0.1545 0.0488 0.0435 0.0534 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.1131 0.0587 0.1138 -0.027 -0.0307 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 87.5 87.4 86.8 16.2 18.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 28.45 10.18 -3.1 -1.78 17.98 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -7.3651 -2.1399 2.1392 -0.957 0.0208 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -1798
## .. .. .. ..$ log.posterior.orig: num -1794
## .. .. .. ..$ mean : num [1:55730] -3.04 -1.75 16.97 14.28 -3.27 ...
## .. .. .. ..$ improved.mean : num [1:55730] -3.1 -1.78 18 14.89 -3.8 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.3112 0.1546 0.0504 0.0435 0.0828 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 23.8 25.3 39.8 62.9 14.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.3112 0.1546 0.0487 0.0435 0.0533 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.113 0.0586 0.1138 -0.027 -0.0307 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 87.5 87.4 86.8 16.2 18.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 28.45 10.18 -3.1 -1.78 18 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -7.3641 -2.139 2.1399 -0.9581 0.0212 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -1797
## .. .. .. ..$ log.posterior.orig: num -1793
## .. .. .. ..$ mean : num [1:55730] -3.04 -1.75 16.97 14.28 -3.27 ...
## .. .. .. ..$ improved.mean : num [1:55730] -3.1 -1.78 18.01 14.9 -3.8 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.3103 0.1542 0.0503 0.0434 0.0827 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 23.8 25.3 39.7 62.9 14.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.3103 0.1542 0.0487 0.0434 0.0532 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.113 0.0585 0.1137 -0.027 -0.0307 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 87.5 87.4 86.8 16.2 18.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 28.45 10.18 -3.1 -1.78 18.01 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -7.3642 -2.1389 2.1402 -0.9572 0.0215 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -1798
## .. .. .. ..$ log.posterior.orig: num -1794
## .. .. .. ..$ mean : num [1:55730] -3.04 -1.75 16.99 14.3 -3.28 ...
## .. .. .. ..$ improved.mean : num [1:55730] -3.1 -1.78 18.03 14.92 -3.81 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.3106 0.1543 0.0502 0.0433 0.0826 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 23.8 25.3 39.8 63.1 14.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.3106 0.1543 0.0486 0.0433 0.0532 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.113 0.0584 0.1137 -0.027 -0.0307 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 87.5 87.4 86.8 16.2 18.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 28.45 10.18 -3.1 -1.78 18.03 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -7.3652 -2.1397 2.1397 -0.9584 0.0213 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -1798
## .. .. .. ..$ log.posterior.orig: num -1794
## .. .. .. ..$ mean : num [1:55730] -3.04 -1.75 16.99 14.29 -3.28 ...
## .. .. .. ..$ improved.mean : num [1:55730] -3.1 -1.78 18.02 14.9 -3.81 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.3106 0.1543 0.0502 0.0433 0.0826 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 23.8 25.3 39.9 63.1 14.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.3106 0.1543 0.0486 0.0433 0.0531 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.113 0.0585 0.1137 -0.0269 -0.0307 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 87.5 87.4 86.8 16.2 18.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 28.45 10.18 -3.1 -1.78 18.02 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -7.3653 -2.1397 2.14 -0.9575 0.0216 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -1798
## .. .. .. ..$ log.posterior.orig: num -1794
## .. .. .. ..$ mean : num [1:55730] -3.04 -1.75 17.01 14.31 -3.28 ...
## .. .. .. ..$ improved.mean : num [1:55730] -3.1 -1.78 18.04 14.92 -3.81 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.3108 0.1544 0.0501 0.0432 0.0825 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 23.8 25.3 39.9 63.2 14.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.3108 0.1544 0.0485 0.0432 0.053 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.113 0.0585 0.1137 -0.0269 -0.0306 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 87.5 87.4 86.8 16.2 18.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 28.45 10.18 -3.1 -1.78 18.04 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -7.3651 -2.1398 2.1393 -0.9578 0.0207 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -1797
## .. .. .. ..$ log.posterior.orig: num -1794
## .. .. .. ..$ mean : num [1:55730] -3.04 -1.75 16.94 14.26 -3.27 ...
## .. .. .. ..$ improved.mean : num [1:55730] -3.1 -1.78 17.97 14.87 -3.79 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.3105 0.1543 0.0505 0.0436 0.0829 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 23.8 25.3 39.6 62.7 14.3 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.3105 0.1543 0.0489 0.0436 0.0535 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.113 0.0586 0.1137 -0.027 -0.0307 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 87.5 87.4 86.8 16.2 18.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 28.45 10.18 -3.1 -1.78 17.97 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -7.3653 -2.1398 2.1396 -0.957 0.0209 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -1798
## .. .. .. ..$ log.posterior.orig: num -1794
## .. .. .. ..$ mean : num [1:55730] -3.04 -1.75 16.96 14.28 -3.27 ...
## .. .. .. ..$ improved.mean : num [1:55730] -3.1 -1.78 17.99 14.89 -3.8 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.3107 0.1544 0.0504 0.0435 0.0829 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 23.8 25.3 39.7 62.8 14.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.3107 0.1544 0.0488 0.0435 0.0534 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.113 0.0585 0.1137 -0.027 -0.0307 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 87.5 87.4 86.8 16.2 18.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 28.45 10.18 -3.1 -1.78 17.99 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -7.3648 -2.1385 2.1392 -0.9579 0.0206 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -1798
## .. .. .. ..$ log.posterior.orig: num -1794
## .. .. .. ..$ mean : num [1:55730] -3.04 -1.75 16.94 14.26 -3.27 ...
## .. .. .. ..$ improved.mean : num [1:55730] -3.1 -1.78 17.98 14.87 -3.8 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.3107 0.1544 0.0504 0.0435 0.0828 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 23.8 25.3 39.7 62.8 14.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.3107 0.1544 0.0488 0.0435 0.0534 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.113 0.0586 0.1137 -0.027 -0.0306 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 87.5 87.4 86.8 16.2 18.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 28.45 10.18 -3.1 -1.78 17.98 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -7.365 -2.1385 2.1396 -0.957 0.0209 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -1798
## .. .. .. ..$ log.posterior.orig: num -1795
## .. .. .. ..$ mean : num [1:55730] -3.04 -1.75 16.96 14.28 -3.27 ...
## .. .. .. ..$ improved.mean : num [1:55730] -3.1 -1.78 18 14.89 -3.8 ...
## .. .. .. ..$ skewness : logi [1:55730] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 0.3109 0.1545 0.0504 0.0435 0.0828 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:153769] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:153769] 23.8 25.3 39.8 62.9 14.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:116274] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ p : int [1:55731] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 55730 55730
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:116274] 0.3109 0.1545 0.0488 0.0435 0.0533 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:25842, 1:3] 0.113 0.0586 0.1137 -0.027 -0.0306 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:25842, 1:2] 87.5 87.4 86.8 16.2 18.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:55730, 1:2] 28.45 10.18 -3.1 -1.78 18 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. ..$ max.log.posterior: num -106381
## ..$ nfunc : num 1235
## ..$ warnings : chr "Stupid local search strategy used: This is usually a sign of a ill-defined model and/or non-informative data."
## ..$ opt.trace :List of 3
## .. ..$ f : Named num [1:91] 164846 123776 123353 107758 107733 ...
## .. .. ..- attr(*, "names")= chr [1:91] "iter1" "iter2" "iter3" "iter4" ...
## .. ..$ nfunc: Named int [1:91] 1 2 3 13 80 83 93 94 98 105 ...
## .. .. ..- attr(*, "names")= chr [1:91] "iter1" "iter2" "iter3" "iter4" ...
## .. ..$ theta: num [1:91, 1:6] -6.97 -6.97 -6.97 -7.54 -7.52 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : chr [1:91] "iter1" "iter2" "iter3" "iter4" ...
## .. .. .. ..$ : chr [1:6] "theta1" "theta2" "theta3" "theta4" ...
## ..$ theta.mode : num [1:6] -7.3646 -2.14 2.1401 -0.9578 0.0205 ...
## ..$ linkfunctions :List of 2
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## ..$ family : chr "t"
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## .. ..$ BRU.E : num [1:25842] 1 1 1 1 1 1 1 1 1 1 ...
## .. ..$ BRU.Ntrials : num [1:25842] 1 1 1 1 1 1 1 1 1 1 ...
## .. ..$ BRU.weights : num [1:25842] 1 1 1 1 1 1 1 1 1 1 ...
## .. ..$ BRU.scale : num [1:25842] 1 1 1 1 1 1 1 1 1 1 ...
## .. ..$ BRU.offset : num [1:25842] 0 0 0 0 0 0 0 0 0 0 ...
## .. ..$ Intercept : num [1:55730] 1 NA NA NA NA NA NA NA NA NA ...
## .. ..$ Intercept.group : int [1:55730] 1 NA NA NA NA NA NA NA NA NA ...
## .. ..$ Intercept.repl : int [1:55730] 1 NA NA NA NA NA NA NA NA NA ...
## .. ..$ SpeedLimit : num [1:55730] NA 1 NA NA NA NA NA NA NA NA ...
## .. ..$ SpeedLimit.group : int [1:55730] NA 1 NA NA NA NA NA NA NA NA ...
## .. ..$ SpeedLimit.repl : int [1:55730] NA 1 NA NA NA NA NA NA NA NA ...
## .. ..$ field : int [1:55730] NA NA 1 2 3 4 5 6 7 8 ...
## .. ..$ field.group : int [1:55730] NA NA 1 1 1 1 1 1 1 1 ...
## .. ..$ field.repl : int [1:55730] NA NA 1 1 1 1 1 1 1 1 ...
## .. ..$ BRU_Intercept_main_model : chr "linear"
## .. ..$ BRU_Intercept_values : num 1
## .. ..$ BRU_SpeedLimit_main_model: chr "linear"
## .. ..$ BRU_SpeedLimit_values : num 1
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## .. .. .. .. .. .. ..$ B_kappa : num [1:69662] 13932 5 0.693 0 -1 ...
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## .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 5 7 9 9 10 12 13 14 15 12 18 19 21 20 22 24 26 28 30 ...
## edge_lengths: 0.0820202978316493 0.13610246403764 0.07378151878521 0.0 ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 11104
## nV: 8781
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.40171 -122.40078 -122.44449 -122.44331 -122.41216 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 5502 2 359 3 4077 4 5117 5 7 5419 8 9 10 11 4817 4613 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
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## ..$ quantiles : num [1:3] 0.025 0.5 0.975
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## .. ..$ openmp.strategy : chr "default"
## .. ..$ hyperpar : logi TRUE
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## .. ..$ dic : logi TRUE
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## .. .. .. ..$ short.name : chr "b10"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[10] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[10] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta11 :List of 11
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## .. .. .. ..$ short.name : chr "b11"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[11] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[11] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta12 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b12"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[12] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[12] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b13"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[13] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[13] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta14 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta14"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b14"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[14] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[14] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta15 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta15"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b15"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[15] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[15] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta16 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta16"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b16"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[16] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[16] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta17 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta17"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b17"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[17] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[17] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta18 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta18"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b18"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[18] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[18] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta19 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta19"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b19"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[19] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[19] for lp_scale"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta20 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta20"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b20"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[20] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[20] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta21 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta21"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b21"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[21] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[21] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta22 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta22"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b22"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[22] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[22] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta23 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta23"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b23"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[23] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[23] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta24 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta24"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b24"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[24] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[24] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta25 :List of 11
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## .. .. .. ..$ name : chr "beta25"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b25"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[25] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[25] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta26 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta26"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b26"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[26] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[26] for lp_scale"
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## .. .. .. ..$ initial : num 1
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta27 :List of 11
## .. .. .. ..$ hyperid : num 103027
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta27"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b27"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[27] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[27] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta28 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta28"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b28"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[28] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[28] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta29 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta29"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b29"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[29] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[29] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta30 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta30"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b30"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[30] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[30] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta31 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta31"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b31"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[31] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[31] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta32 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta32"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b32"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[32] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[32] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta33 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta33"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b33"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[33] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[33] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta34 :List of 11
## .. .. .. ..$ hyperid : num 103034
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta34"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b34"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[34] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[34] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta35 :List of 11
## .. .. .. ..$ hyperid : num 103035
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta35"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b35"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[35] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[35] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta36 :List of 11
## .. .. .. ..$ hyperid : num 103036
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta36"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b36"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[36] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[36] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta37 :List of 11
## .. .. .. ..$ hyperid : num 103037
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta37"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b37"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[37] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[37] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta38 :List of 11
## .. .. .. ..$ hyperid : num 103038
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta38"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b38"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[38] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[38] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta39 :List of 11
## .. .. .. ..$ hyperid : num 103039
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta39"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b39"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[39] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[39] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta40 :List of 11
## .. .. .. ..$ hyperid : num 103040
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta40"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b40"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[40] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[40] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta41 :List of 11
## .. .. .. ..$ hyperid : num 103041
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta41"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b41"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[41] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[41] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta42 :List of 11
## .. .. .. ..$ hyperid : num 103042
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta42"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b42"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[42] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[42] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta43 :List of 11
## .. .. .. ..$ hyperid : num 103043
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta43"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b43"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[43] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[43] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta44 :List of 11
## .. .. .. ..$ hyperid : num 103044
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta44"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b44"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[44] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[44] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta45 :List of 11
## .. .. .. ..$ hyperid : num 103045
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta45"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b45"
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## .. .. .. ..$ output.name.intern: chr "beta[60] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ short.name : chr "b63"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[63] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[63] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[64] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[64] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b65"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[65] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[65] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b66"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[66] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[66] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta67 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta67"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b67"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[67] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[67] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta68 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta68"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b68"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[68] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[68] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta69 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta69"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b69"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[69] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[69] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta70 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta70"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b70"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[70] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[70] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta71 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta71"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b71"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[71] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[71] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta72 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta72"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b72"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[72] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[72] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta73 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta73"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b73"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[73] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[73] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta74 :List of 11
## .. .. .. ..$ hyperid : num 103074
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta74"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b74"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[74] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[74] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta75 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta75"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b75"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[75] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[75] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta76 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta76"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b76"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[76] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[76] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta77 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta77"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b77"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[77] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[77] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta78 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta78"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b78"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[78] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[78] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta79 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta79"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b79"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[79] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[79] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta80 :List of 11
## .. .. .. ..$ hyperid : num 103080
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta80"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b80"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[80] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[80] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ short.name : chr "b82"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[82] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[82] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[83] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[83] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta84 :List of 11
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## .. .. .. ..$ name : chr "beta84"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b84"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[84] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[84] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta85 :List of 11
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## .. .. .. ..$ name : chr "beta85"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b85"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[85] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[85] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta86 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b86"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[86] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[86] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta87 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta87"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b87"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[87] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[87] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta88 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta88"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b88"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[88] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[88] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta89 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta89"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b89"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[89] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[89] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta90 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta90"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b90"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[90] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[90] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta91 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta91"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b91"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[91] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[91] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta92 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta92"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b92"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[92] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[92] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ fixed : logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta93 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta93"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b93"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[93] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[93] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta94 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta94"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b94"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[94] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[94] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta95 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta95"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b95"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[95] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[95] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta96 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta96"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b96"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[96] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[96] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta97 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta97"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b97"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[97] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[97] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta98 :List of 11
## .. .. .. ..$ hyperid : num 103098
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta98"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. .. .. .. ..$ model : chr "cgeneric"
## .. .. .. .. .. .. .. ..$ n : int 13932
## .. .. .. .. .. .. .. ..$ cgeneric:List of 5
## .. .. .. .. .. .. .. .. ..$ model: chr "inla_cgeneric_rspde_nonstat_int_model"
## .. .. .. .. .. .. .. .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. ..$ n : int 13932
## .. .. .. .. .. .. .. .. ..$ debug: logi FALSE
## .. .. .. .. .. .. .. .. ..$ data :List of 5
## .. .. .. .. .. .. .. .. .. ..$ ints :List of 5
## .. .. .. .. .. .. .. .. .. .. ..$ n : int 13932
## .. .. .. .. .. .. .. .. .. .. ..$ debug : int 0
## .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_i: int [1:29068] 0 0 0 0 1 1 1 1 1 2 ...
## .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_j: int [1:29068] 0 5681 8781 11463 1 8781 11429 11463 13882 2 ...
## .. .. .. .. .. .. .. .. .. .. ..$ alpha : int 1
## .. .. .. .. .. .. .. .. .. ..$ doubles :List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:4] 2.84 -1.26 0 0
## .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean: num [1:4] 2.84 -1.26 0 0
## .. .. .. .. .. .. .. .. .. ..$ characters:List of 3
## .. .. .. .. .. .. .. .. .. .. ..$ model : chr "inla_cgeneric_rspde_nonstat_int_model"
## .. .. .. .. .. .. .. .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. .. .. .. .. .. .. .. ..$ matrices :List of 3
## .. .. .. .. .. .. .. .. .. .. ..$ B_tau : num [1:69662] 13932 5 -0.693 -1 0.5 ...
## .. .. .. .. .. .. .. .. .. .. ..$ B_kappa : num [1:69662] 13932 5 0.693 0 -1 ...
## .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec: num [1:18] 4 4 0.1 0 0 0 0 0.1 0 0 ...
## .. .. .. .. .. .. .. .. .. ..$ smatrices :List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ C: num [1:41799] 13932 13932 13932 0 1 ...
## .. .. .. .. .. .. .. .. .. .. ..$ G: num [1:132615] 13932 13932 44204 0 5681 ...
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr "inla.cgeneric"
## .. .. .. .. .. .. ..$ cgeneric_type : chr "int_alpha"
## .. .. .. .. .. .. ..$ nu : num 0.5
## .. .. .. .. .. .. ..$ theta.prior.mean : num [1:4] 2.84 -1.26 0 0
## .. .. .. .. .. .. ..$ prior.nu :List of 4
## .. .. .. .. .. .. .. ..$ loglocation: num -5e-06
## .. .. .. .. .. .. .. ..$ mean : num 1
## .. .. .. .. .. .. .. ..$ prec : num 3
## .. .. .. .. .. .. .. ..$ logscale : num 1
## .. .. .. .. .. .. ..$ theta.prior.prec : num [1:4, 1:4] 0.1 0 0 0 0 0.1 0 0 0 0 ...
## .. .. .. .. .. .. ..$ start.nu : num 0.5
## .. .. .. .. .. .. ..$ integer.nu : logi TRUE
## .. .. .. .. .. .. ..$ start.theta : num [1:4] 2.84 -1.26 0 0
## .. .. .. .. .. .. ..$ stationary : logi FALSE
## .. .. .. .. .. .. ..$ rspde.order : num 2
## .. .. .. .. .. .. ..$ dim : num 1
## .. .. .. .. .. .. ..$ est_nu : logi FALSE
## .. .. .. .. .. .. ..$ nu.upper.bound : num 2
## .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. ..$ debug : logi FALSE
## .. .. .. .. .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. .. .. .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 5 7 9 9 10 12 13 14 15 12 18 19 21 20 22 24 26 28 30 ...
## edge_lengths: 0.0820202978316493 0.13610246403764 0.07378151878521 0.0 ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 11104
## nV: 8781
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.40171 -122.40078 -122.44449 -122.44331 -122.41216 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 5502 2 359 3 4077 4 5117 5 7 5419 8 9 10 11 4817 4613 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## .. .. .. .. .. .. ..$ fem_mesh :List of 4
## .. .. .. .. .. .. .. ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:13932] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. ..@ j : int [1:13932] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:13932] 0.0534 0.0776 0.0408 0.0457 0.0367 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:44204] 0 5681 8781 11463 1 8781 11429 11463 13882 2 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:13933] 0 4 9 12 15 18 23 26 29 34 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:44204] 210.6 -161.9 -24.4 -24.4 103.4 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:81554] 0 1 5399 5681 8781 11463 0 1 4450 8781 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:13933] 0 6 13 18 23 28 37 42 47 56 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:81554] 1731368 28997 607384 -2117274 -125237 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:124984] 0 1 805 5399 5681 8781 11429 11463 13882 0 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:13933] 0 9 18 25 32 43 56 65 72 85 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:124984] 1.84e+10 1.88e+08 -4.79e+08 9.57e+09 -2.57e+10 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. ..$ n.spde : int 13932
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_inla_rspde" "bru_mapper" "list"
## .. .. .. .. ..$ model :List of 21
## .. .. .. .. .. ..$ f :List of 3
## .. .. .. .. .. .. ..$ model : chr "cgeneric"
## .. .. .. .. .. .. ..$ n : int 13932
## .. .. .. .. .. .. ..$ cgeneric:List of 5
## .. .. .. .. .. .. .. ..$ model: chr "inla_cgeneric_rspde_nonstat_int_model"
## .. .. .. .. .. .. .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. ..$ n : int 13932
## .. .. .. .. .. .. .. ..$ debug: logi FALSE
## .. .. .. .. .. .. .. ..$ data :List of 5
## .. .. .. .. .. .. .. .. ..$ ints :List of 5
## .. .. .. .. .. .. .. .. .. ..$ n : int 13932
## .. .. .. .. .. .. .. .. .. ..$ debug : int 0
## .. .. .. .. .. .. .. .. .. ..$ graph_opt_i: int [1:29068] 0 0 0 0 1 1 1 1 1 2 ...
## .. .. .. .. .. .. .. .. .. ..$ graph_opt_j: int [1:29068] 0 5681 8781 11463 1 8781 11429 11463 13882 2 ...
## .. .. .. .. .. .. .. .. .. ..$ alpha : int 1
## .. .. .. .. .. .. .. .. ..$ doubles :List of 2
## .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:4] 2.84 -1.26 0 0
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean: num [1:4] 2.84 -1.26 0 0
## .. .. .. .. .. .. .. .. ..$ characters:List of 3
## .. .. .. .. .. .. .. .. .. ..$ model : chr "inla_cgeneric_rspde_nonstat_int_model"
## .. .. .. .. .. .. .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. .. .. .. .. .. .. ..$ matrices :List of 3
## .. .. .. .. .. .. .. .. .. ..$ B_tau : num [1:69662] 13932 5 -0.693 -1 0.5 ...
## .. .. .. .. .. .. .. .. .. ..$ B_kappa : num [1:69662] 13932 5 0.693 0 -1 ...
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec: num [1:18] 4 4 0.1 0 0 0 0 0.1 0 0 ...
## .. .. .. .. .. .. .. .. ..$ smatrices :List of 2
## .. .. .. .. .. .. .. .. .. ..$ C: num [1:41799] 13932 13932 13932 0 1 ...
## .. .. .. .. .. .. .. .. .. ..$ G: num [1:132615] 13932 13932 44204 0 5681 ...
## .. .. .. .. .. .. .. ..- attr(*, "class")= chr "inla.cgeneric"
## .. .. .. .. .. ..$ cgeneric_type : chr "int_alpha"
## .. .. .. .. .. ..$ nu : num 0.5
## .. .. .. .. .. ..$ theta.prior.mean : num [1:4] 2.84 -1.26 0 0
## .. .. .. .. .. ..$ prior.nu :List of 4
## .. .. .. .. .. .. ..$ loglocation: num -5e-06
## .. .. .. .. .. .. ..$ mean : num 1
## .. .. .. .. .. .. ..$ prec : num 3
## .. .. .. .. .. .. ..$ logscale : num 1
## .. .. .. .. .. ..$ theta.prior.prec : num [1:4, 1:4] 0.1 0 0 0 0 0.1 0 0 0 0 ...
## .. .. .. .. .. ..$ start.nu : num 0.5
## .. .. .. .. .. ..$ integer.nu : logi TRUE
## .. .. .. .. .. ..$ start.theta : num [1:4] 2.84 -1.26 0 0
## .. .. .. .. .. ..$ stationary : logi FALSE
## .. .. .. .. .. ..$ rspde.order : num 2
## .. .. .. .. .. ..$ dim : num 1
## .. .. .. .. .. ..$ est_nu : logi FALSE
## .. .. .. .. .. ..$ nu.upper.bound : num 2
## .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. ..$ debug : logi FALSE
## .. .. .. .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. .. .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 5 7 9 9 10 12 13 14 15 12 18 19 21 20 22 24 26 28 30 ...
## edge_lengths: 0.0820202978316493 0.13610246403764 0.07378151878521 0.0 ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 11104
## nV: 8781
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.40171 -122.40078 -122.44449 -122.44331 -122.41216 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 5502 2 359 3 4077 4 5117 5 7 5419 8 9 10 11 4817 4613 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## .. .. .. .. .. ..$ fem_mesh :List of 4
## .. .. .. .. .. .. ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:13932] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. ..@ j : int [1:13932] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:13932] 0.0534 0.0776 0.0408 0.0457 0.0367 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:44204] 0 5681 8781 11463 1 8781 11429 11463 13882 2 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:13933] 0 4 9 12 15 18 23 26 29 34 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:44204] 210.6 -161.9 -24.4 -24.4 103.4 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:81554] 0 1 5399 5681 8781 11463 0 1 4450 8781 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:13933] 0 6 13 18 23 28 37 42 47 56 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:81554] 1731368 28997 607384 -2117274 -125237 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:124984] 0 1 805 5399 5681 8781 11429 11463 13882 0 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:13933] 0 9 18 25 32 43 56 65 72 85 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:124984] 1.84e+10 1.88e+08 -4.79e+08 9.57e+09 -2.57e+10 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. ..$ n.spde : int 13932
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"
## .. .. .. .. ..$ type : chr "cgeneric"
## .. .. .. .. ..$ n : num 13932
## .. .. .. .. ..$ values : int [1:13932] 1 2 3 4 5 6 7 8 9 10 ...
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ group :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : int 1
## .. .. .. .. .. ..$ label : chr "field.group"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 1
## .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "exchangeable"
## .. .. .. .. ..$ type : chr "exchangeable"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ values : int 1
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ replicate :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : language data_rspde_bru_nonstat[["repl"]]
## .. .. .. .. .. ..$ label : chr "field.repl"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 4
## .. .. .. .. .. ..$ levels : chr [1:4] "1" "2" "3" "4"
## .. .. .. .. .. ..$ factor_mapping: chr "full"
## .. .. .. .. .. ..$ indexed : logi TRUE
## .. .. .. .. .. ..$ n : int 4
## .. .. .. .. .. ..- attr(*, "class")= chr [1:4] "bru_mapper_factor_index" "bru_mapper_factor" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "iid"
## .. .. .. .. ..$ type : chr "iid"
## .. .. .. .. ..$ n : int 4
## .. .. .. .. ..$ values : int [1:4] 1 2 3 4
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ weights : NULL
## .. .. .. ..$ copy : NULL
## .. .. .. ..$ marginal : NULL
## .. .. .. ..$ env :<environment: R_GlobalEnv>
## .. .. .. ..$ env_extra :<environment: 0x56445a00c2d0>
## .. .. .. ..$ fcall : language "f"(field, model = BRU_field_main_model, replicate = field.repl, ngroup = 1, nrep = 4L, values = BRU_field_values)
## .. .. .. ..$ mapper :List of 6
## .. .. .. .. ..$ mappers :List of 2
## .. .. .. .. .. ..$ mapper:List of 9
## .. .. .. .. .. .. ..$ mappers :List of 3
## .. .. .. .. .. .. .. ..$ main :List of 1
## .. .. .. .. .. .. .. .. ..$ model:List of 21
## .. .. .. .. .. .. .. .. .. ..$ f :List of 3
## .. .. .. .. .. .. .. .. .. .. ..$ model : chr "cgeneric"
## .. .. .. .. .. .. .. .. .. .. ..$ n : int 13932
## .. .. .. .. .. .. .. .. .. .. ..$ cgeneric:List of 5
## .. .. .. .. .. .. .. .. .. .. .. ..$ model: chr "inla_cgeneric_rspde_nonstat_int_model"
## .. .. .. .. .. .. .. .. .. .. .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. .. .. ..$ n : int 13932
## .. .. .. .. .. .. .. .. .. .. .. ..$ debug: logi FALSE
## .. .. .. .. .. .. .. .. .. .. .. ..$ data :List of 5
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ ints :List of 5
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ n : int 13932
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ debug : int 0
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_i: int [1:29068] 0 0 0 0 1 1 1 1 1 2 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_j: int [1:29068] 0 5681 8781 11463 1 8781 11429 11463 13882 2 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ alpha : int 1
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ doubles :List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:4] 2.84 -1.26 0 0
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean: num [1:4] 2.84 -1.26 0 0
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ characters:List of 3
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ model : chr "inla_cgeneric_rspde_nonstat_int_model"
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ matrices :List of 3
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ B_tau : num [1:69662] 13932 5 -0.693 -1 0.5 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ B_kappa : num [1:69662] 13932 5 0.693 0 -1 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec: num [1:18] 4 4 0.1 0 0 0 0 0.1 0 0 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ smatrices :List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ C: num [1:41799] 13932 13932 13932 0 1 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ G: num [1:132615] 13932 13932 44204 0 5681 ...
## .. .. .. .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr "inla.cgeneric"
## .. .. .. .. .. .. .. .. .. ..$ cgeneric_type : chr "int_alpha"
## .. .. .. .. .. .. .. .. .. ..$ nu : num 0.5
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean : num [1:4] 2.84 -1.26 0 0
## .. .. .. .. .. .. .. .. .. ..$ prior.nu :List of 4
## .. .. .. .. .. .. .. .. .. .. ..$ loglocation: num -5e-06
## .. .. .. .. .. .. .. .. .. .. ..$ mean : num 1
## .. .. .. .. .. .. .. .. .. .. ..$ prec : num 3
## .. .. .. .. .. .. .. .. .. .. ..$ logscale : num 1
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec : num [1:4, 1:4] 0.1 0 0 0 0 0.1 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. ..$ start.nu : num 0.5
## .. .. .. .. .. .. .. .. .. ..$ integer.nu : logi TRUE
## .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:4] 2.84 -1.26 0 0
## .. .. .. .. .. .. .. .. .. ..$ stationary : logi FALSE
## .. .. .. .. .. .. .. .. .. ..$ rspde.order : num 2
## .. .. .. .. .. .. .. .. .. ..$ dim : num 1
## .. .. .. .. .. .. .. .. .. ..$ est_nu : logi FALSE
## .. .. .. .. .. .. .. .. .. ..$ nu.upper.bound : num 2
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. .. .. .. ..$ debug : logi FALSE
## .. .. .. .. .. .. .. .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. .. .. .. .. .. .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 5 7 9 9 10 12 13 14 15 12 18 19 21 20 22 24 26 28 30 ...
## edge_lengths: 0.0820202978316493 0.13610246403764 0.07378151878521 0.0 ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 11104
## nV: 8781
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.40171 -122.40078 -122.44449 -122.44331 -122.41216 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 5502 2 359 3 4077 4 5117 5 7 5419 8 9 10 11 4817 4613 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## .. .. .. .. .. .. .. .. .. ..$ fem_mesh :List of 4
## .. .. .. .. .. .. .. .. .. .. ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:13932] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ j : int [1:13932] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:13932] 0.0534 0.0776 0.0408 0.0457 0.0367 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. .. ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:44204] 0 5681 8781 11463 1 8781 11429 11463 13882 2 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ p : int [1:13933] 0 4 9 12 15 18 23 26 29 34 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:44204] 210.6 -161.9 -24.4 -24.4 103.4 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. .. ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:81554] 0 1 5399 5681 8781 11463 0 1 4450 8781 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ p : int [1:13933] 0 6 13 18 23 28 37 42 47 56 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:81554] 1731368 28997 607384 -2117274 -125237 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. .. ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:124984] 0 1 805 5399 5681 8781 11429 11463 13882 0 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ p : int [1:13933] 0 9 18 25 32 43 56 65 72 85 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 13932 13932
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:124984] 1.84e+10 1.88e+08 -4.79e+08 9.57e+09 -2.57e+10 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. .. .. .. ..$ n.spde : int 13932
## .. .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_inla_rspde" "bru_mapper" "list"
## .. .. .. .. .. .. .. ..$ group :List of 1
## .. .. .. .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. .. .. .. ..$ replicate:List of 4
## .. .. .. .. .. .. .. .. ..$ levels : chr [1:4] "1" "2" "3" "4"
## .. .. .. .. .. .. .. .. ..$ factor_mapping: chr "full"
## .. .. .. .. .. .. .. .. ..$ indexed : logi TRUE
## .. .. .. .. .. .. .. .. ..$ n : int 4
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:4] "bru_mapper_factor_index" "bru_mapper_factor" "bru_mapper" "list"
## .. .. .. .. .. .. ..$ n_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : num 13932
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: int 4
## .. .. .. .. .. .. ..$ n_inla_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : num 13932
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: int 4
## .. .. .. .. .. .. ..$ values_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : int [1:13932] 1 2 3 4 5 6 7 8 9 10 ...
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int [1:4] 1 2 3 4
## .. .. .. .. .. .. ..$ values_inla_multi:List of 3
## .. .. .. .. .. .. .. ..$ main : int [1:13932] 1 2 3 4 5 6 7 8 9 10 ...
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int [1:4] 1 2 3 4
## .. .. .. .. .. .. ..$ is_linear_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : logi TRUE
## .. .. .. .. .. .. .. ..$ group : logi TRUE
## .. .. .. .. .. .. .. ..$ replicate: logi TRUE
## .. .. .. .. .. .. ..$ n : num 55728
## .. .. .. .. .. .. ..$ n_inla : num 55728
## .. .. .. .. .. .. ..$ is_linear : logi TRUE
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_multi" "bru_mapper" "list"
## .. .. .. .. .. ..$ scale : list()
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_scale" "bru_mapper" "list"
## .. .. .. .. ..$ : Named logi [1:2] TRUE TRUE
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ is_linear: logi TRUE
## .. .. .. .. ..$ n_multi : Named int [1:2] 55728 NA
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ n : num 55728
## .. .. .. .. ..$ names : chr [1:2] "mapper" "scale"
## .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_pipe" "bru_mapper" "list"
## .. .. .. ..- attr(*, "class")= chr [1:2] "component" "list"
## .. .. ..- attr(*, "class")= chr [1:2] "component_list" "list"
## .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
## .. ..$ formula:Class 'formula' language BRU_response ~ f(Intercept, model = BRU_Intercept_main_model, ngroup = 1, nrep = 1, values = BRU_Intercept_v| __truncated__ ...
## .. .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
## .. ..- attr(*, "class")= chr [1:2] "bru_model" "list"
## ..$ lhoods :List of 1
## .. ..$ :List of 17
## .. .. ..$ family : chr "T"
## .. .. ..$ formula :Class 'formula' language speed ~ .
## .. .. .. .. ..- attr(*, ".Environment")=<environment: 0x56445a73ed68>
## .. .. ..$ response_data :List of 4
## .. .. .. ..$ BRU_response: num [1:25842] 99.8 91.7 99.8 14.5 16.1 ...
## .. .. .. ..$ BRU_E : num 1
## .. .. .. ..$ BRU_Ntrials : num 1
## .. .. .. ..$ BRU_scale : num 1
## .. .. ..$ data :List of 8
## .. .. .. ..$ speed : num [1:25842] 99.8 91.7 99.8 14.5 16.1 ...
## .. .. .. ..$ SpeedLimit : num [1:25842] 4.09 4.09 4.09 -1.04 -1.04 ...
## .. .. .. ..$ .coord_x : num [1:25842] -122 -122 -122 -122 -122 ...
## .. .. .. ..$ .coord_y : num [1:25842] 37.7 37.7 37.7 37.8 37.8 ...
## .. .. .. ..$ .edge_number : num [1:25842] 2 2 2 3 3 3 5 6 6 6 ...
## .. .. .. ..$ .distance_on_edge: num [1:25842] 0.195 0.227 0.363 0.309 0.583 ...
## .. .. .. ..$ .group : chr [1:25842] "1" "1" "1" "1" ...
## .. .. .. ..$ loc : num [1:25842, 1:2] 2 2 2 3 3 3 5 6 6 6 ...
## .. .. .. ..- attr(*, "class")= chr [1:2] "metric_graph_data" "list"
## .. .. ..$ E : num 1
## .. .. ..$ Ntrials : num 1
## .. .. ..$ weights : num 1
## .. .. ..$ scale : num 1
## .. .. ..$ samplers : NULL
## .. .. ..$ linear : logi TRUE
## .. .. ..$ expr : NULL
## .. .. ..$ response : chr "BRU_response"
## .. .. ..$ inla.family : chr "T"
## .. .. ..$ domain : NULL
## .. .. ..$ used :List of 2
## .. .. .. ..$ effect: chr [1:3] "Intercept" "SpeedLimit" "field"
## .. .. .. ..$ latent: chr(0)
## .. .. .. ..- attr(*, "class")= chr "bru_used"
## .. .. ..$ allow_combine : logi TRUE
## .. .. ..$ control.family: NULL
## .. .. ..- attr(*, "class")= chr [1:2] "bru_like" "list"
## .. ..- attr(*, "class")= chr [1:2] "bru_like_list" "list"
## ..$ options :List of 14
## .. ..$ bru_verbose : num 0
## .. ..$ bru_verbose_store: num Inf
## .. ..$ bru_max_iter : num 1
## .. ..$ bru_run : logi TRUE
## .. ..$ bru_int_args :List of 3
## .. .. ..$ method: chr "stable"
## .. .. ..$ nsub1 : num 30
## .. .. ..$ nsub2 : num 9
## .. ..$ bru_method :List of 6
## .. .. ..$ taylor : chr "pandemic"
## .. .. ..$ search : chr "all"
## .. .. ..$ factor : num 1.62
## .. .. ..$ rel_tol : num 0.1
## .. .. ..$ max_step : num 2
## .. .. ..$ line_opt_method: chr "onestep"
## .. ..$ bru_compress_cp : logi TRUE
## .. ..$ bru_debug : logi FALSE
## .. ..$ E : num 1
## .. ..$ Ntrials : num 1
## .. ..$ control.compute :List of 3
## .. .. ..$ config: logi TRUE
## .. .. ..$ dic : logi TRUE
## .. .. ..$ waic : logi TRUE
## .. ..$ control.inla :List of 1
## .. .. ..$ int.strategy: chr "auto"
## .. ..$ control.fixed :List of 1
## .. .. ..$ expand.factor.strategy: chr "inla"
## .. ..$ verbose : logi FALSE
## .. ..- attr(*, "class")= chr [1:2] "bru_options" "list"
## ..$ inlabru_version: Named chr "2.10.1.9007"
## .. ..- attr(*, "names")= chr "version"
## ..$ INLA_version : Named chr "24.05.18-2"
## .. ..- attr(*, "names")= chr "version"
## ..- attr(*, "class")= chr [1:2] "bru_info" "list"
## - attr(*, "class")= chr [1:3] "bru" "iinla" "inla"## Time difference of 1.036064 hours## inlabru version: 2.10.1.9007
## INLA version: 24.05.18-2
## Components:
## Intercept: main = linear(1), group = exchangeable(1L), replicate = iid(1L)
## SpeedLimit: main = linear(SpeedLimit), group = exchangeable(1L), replicate = iid(1L)
## field: main = cgeneric(loc), group = exchangeable(1L), replicate = iid(data_rspde_bru_nonstat[["repl"]])
## Likelihoods:
## Family: 'T'
## Data class: 'metric_graph_data', 'list'
## Predictor: speed ~ .
## Time used:
## Pre = 0.346, Running = 2033, Post = 3.44, Total = 2037
## Fixed effects:
## mean sd 0.025quant 0.5quant 0.975quant mode kld
## Intercept 28.543 0.181 28.189 28.543 28.897 28.543 0
## SpeedLimit 10.103 0.160 9.789 10.103 10.418 10.103 0
##
## Random effects:
## Name Model
## field CGeneric
##
## Model hyperparameters:
## mean sd 0.025quant 0.5quant
## precision for the student-t observations 0.001 0.00 0.001 0.001
## degrees of freedom for student-t 2.118 0.00 2.118 2.118
## Theta1 for field 2.140 0.00 2.139 2.140
## Theta2 for field -0.958 0.00 -0.958 -0.958
## Theta3 for field 0.021 0.00 0.020 0.021
## Theta4 for field -0.086 0.00 -0.087 -0.086
## 0.975quant mode
## precision for the student-t observations 0.001 0.001
## degrees of freedom for student-t 2.118 2.118
## Theta1 for field 2.141 2.140
## Theta2 for field -0.957 -0.958
## Theta3 for field 0.021 0.021
## Theta4 for field -0.086 -0.086
##
## Deviance Information Criterion (DIC) ...............: 207939.52
## Deviance Information Criterion (DIC, saturated) ....: -4397.24
## Effective number of parameters .....................: 2668.51
##
## Watanabe-Akaike information criterion (WAIC) ...: 208425.26
## Effective number of parameters .................: 3017.32
##
## Marginal log-Likelihood: -108215.50
## is computed
## Posterior summaries for the linear predictor and the fitted values are computed
## (Posterior marginals needs also 'control.compute=list(return.marginals.predictor=TRUE)')## mean sd 0.025quant 0.5quant 0.975quant
## Theta1.matern 2.1399500 0.000429373 2.1390200 2.1399700 2.1406900
## Theta2.matern -0.9575790 0.000423461 -0.9583030 -0.9576090 -0.9566540
## Theta3.matern 0.0205873 0.000379748 0.0198644 0.0205792 0.0213620
## Theta4.matern -0.0864697 0.000391144 -0.0872828 -0.0864561 -0.0857437
## mode
## Theta1.matern 2.1401200
## Theta2.matern -0.9577620
## Theta3.matern 0.0205398
## Theta4.matern -0.08639041.3 Crossvalidation 1
#load(here("Models_output/distmatrixfixed.RData"))
points = data %>%
as.data.frame() %>%
st_as_sf(coords = c(".coord_x", ".coord_y"), crs = 4326) %>%
mutate(., index = 1:nrow(.)) %>%
st_drop_geometry() %>%
dplyr:::select(speed, .group, index) %>%
mutate(.group = as.numeric(.group)) %>%
group_by(.group) %>%
mutate(indexingroup = seq_len(n())) %>%
ungroup()
distance = seq(from = 0, to = 200, by = 20)/1000The code of chunk below was executed only one time.
{r}
load(here("Models_output/distmatrixfixed_19May24.RData"))
points = data %>%
as.data.frame() %>%
st_as_sf(coords = c(".coord_x", ".coord_y"), crs = 4326) %>%
mutate(., index = 1:nrow(.)) %>%
st_drop_geometry() %>%
dplyr:::select(speed, .group, index) %>%
mutate(.group = as.numeric(.group)) %>%
group_by(.group) %>%
mutate(indexingroup = seq_len(n())) %>%
ungroup()
distance = seq(from = 0, to = 200, by = 20)/1000
GROUPS <- list()
for (j in 1:length(distance)) {
print(j)
GROUPS[[j]] = list()
for (i in 1:nrow(points)) {
rowi = points[i, ]
GROUPS[[j]][[i]] <- which(as.vector(distmatrixlist[[rowi$.group]][rowi$indexingroup,]) <= distance[j])
}
}
save(GROUPS, file = here("Models_output/GROUPS_19May24.RData"))The code of chunk above was executed only one time.
load(here("Models_output/GROUPS_19May24.RData"))
mse.stat <- mse.nonstat <- ls.stat <- ls.nonstat <- rep(0,length(distance))
# cross-validation for-loop
for (j in 1:length(distance)) {
print(j)
# cross-validation of the stationary model
cv.stat <- inla.group.cv(rspde_fit_stat, groups = GROUPS[[j]])
# cross-validation of the nonstationary model
cv.nonstat <- inla.group.cv(rspde_fit_nonstat, groups = GROUPS[[j]])
# obtain MSE and LS
mse.stat[j] <- mean((cv.stat$mean - points$speed)^2)
mse.nonstat[j] <- mean((cv.nonstat$mean - points$speed)^2)
ls.stat[j] <- mean(log(cv.stat$cv))
ls.nonstat[j] <- mean(log(cv.nonstat$cv))
}
## [1] 1
## [1] 2
## [1] 3
## [1] 4
## [1] 5
## [1] 6
## [1] 7
## [1] 8
## [1] 9
## [1] 10
## [1] 11
## plot results
par(mfrow = c(2,2), family = "Palatino")
# Plot MSE
plot(distance, mse.stat, main = "MSE", ylim = c(min(mse.nonstat, mse.stat), max(mse.nonstat, mse.stat)),
type = "l", ylab = "MSE", xlab = "distance in m", col = "black")
lines(distance, mse.nonstat, col = "blue")
legend("bottomright", legend = c("Stationary", "Non-stationary"), col = c("black", "blue"), lty = 1)
# Plot log-score
plot(distance, -ls.stat, main = "log-score", ylim = c(min(-ls.nonstat, -ls.stat), max(-ls.nonstat, -ls.stat)),
type = "l", ylab = "log-score", xlab = "distance in m", col = "black")
## Error in plot.window(...): need finite 'ylim' values
lines(distance, -ls.nonstat, col = "blue")
legend("bottomright", legend = c("Stationary", "Non-stationary"), col = c("black", "blue"), lty = 1)finaltimeallprocedure <- Sys.time()
print(finaltimeallprocedure - timeallprocedure)
## Time difference of 1.395466 hours
save.image(here(paste0("Models_output/", rmarkdown::metadata$title, ".RData")))|.. | 5% [xaringanExtra-clipboard]
processing file: Highways4.Rmd
|.............................. | 67% [unnamed-chunk-27]
*** warning *** max_correction = 25.01 >= 25.00, 'vb.correction' is aborted
*** You can change the emergency value (current value=25.00) by
*** 'control.inla=list(control.vb=list(emergency=...))'
*** Please (re-)consider your model, priors, confounding, etc.
*** warning *** max_correction = 25.00 >= 25.00, 'vb.correction' is aborted
*** You can change the emergency value (current value=25.00) by
*** 'control.inla=list(control.vb=list(emergency=...))'
*** Please (re-)consider your model, priors, confounding, etc.
*** warning *** max_correction = 25.01 >= 25.00, 'vb.correction' is aborted
*** You can change the emergency value (current value=25.00) by
*** 'control.inla=list(control.vb=list(emergency=...))'
*** Please (re-)consider your model, priors, confounding, etc.
*** warning *** max_correction = 25.01 >= 25.00, 'vb.correction' is aborted
*** You can change the emergency value (current value=25.00) by
*** 'control.inla=list(control.vb=list(emergency=...))'
*** Please (re-)consider your model, priors, confounding, etc.
*** warning *** max_correction = 25.01 >= 25.00, 'vb.correction' is aborted
*** You can change the emergency value (current value=25.00) by
*** 'control.inla=list(control.vb=list(emergency=...))'
*** Please (re-)consider your model, priors, confounding, etc.
*** warning *** max_correction = 25.01 >= 25.00, 'vb.correction' is aborted
*** You can change the emergency value (current value=25.00) by
*** 'control.inla=list(control.vb=list(emergency=...))'
*** Please (re-)consider your model, priors, confounding, etc.
*** warning *** max_correction = 25.01 >= 25.00, 'vb.correction' is aborted
*** You can change the emergency value (current value=25.00) by
*** 'control.inla=list(control.vb=list(emergency=...))'
*** Please (re-)consider your model, priors, confounding, etc.
*** warning *** max_correction = 25.00 >= 25.00, 'vb.correction' is aborted
*** You can change the emergency value (current value=25.00) by
*** 'control.inla=list(control.vb=list(emergency=...))'
*** Please (re-)consider your model, priors, confounding, etc.
*** warning *** max_correction = 25.00 >= 25.00, 'vb.correction' is aborted
*** You can change the emergency value (current value=25.00) by
*** 'control.inla=list(control.vb=list(emergency=...))'
*** Please (re-)consider your model, priors, confounding, etc.
*** warning *** max_correction = 25.01 >= 25.00, 'vb.correction' is aborted
*** You can change the emergency value (current value=25.00) by
*** 'control.inla=list(control.vb=list(emergency=...))'
*** Please (re-)consider your model, priors, confounding, etc.
*** warning *** max_correction = 25.01 >= 25.00, 'vb.correction' is aborted
*** You can change the emergency value (current value=25.00) by
*** 'control.inla=list(control.vb=list(emergency=...))'
*** Please (re-)consider your model, priors, confounding, etc.
*** warning *** max_correction = 25.01 >= 25.00, 'vb.correction' is aborted
*** You can change the emergency value (current value=25.00) by
*** 'control.inla=list(control.vb=list(emergency=...))'
*** Please (re-)consider your model, priors, confounding, etc.
*** warning *** max_correction = 25.01 >= 25.00, 'vb.correction' is aborted
*** You can change the emergency value (current value=25.00) by
*** 'control.inla=list(control.vb=list(emergency=...))'
*** Please (re-)consider your model, priors, confounding, etc.
*** warning *** max_correction = 25.01 >= 25.00, 'vb.correction' is aborted
*** You can change the emergency value (current value=25.00) by
*** 'control.inla=list(control.vb=list(emergency=...))'
*** Please (re-)consider your model, priors, confounding, etc.
*** warning *** max_correction = 25.00 >= 25.00, 'vb.correction' is aborted
*** You can change the emergency value (current value=25.00) by
*** 'control.inla=list(control.vb=list(emergency=...))'
*** Please (re-)consider your model, priors, confounding, etc.
*** warning *** max_correction = 25.01 >= 25.00, 'vb.correction' is aborted
*** You can change the emergency value (current value=25.00) by
*** 'control.inla=list(control.vb=list(emergency=...))'
*** Please (re-)consider your model, priors, confounding, etc.
*** warning *** max_correction = 25.01 >= 25.00, 'vb.correction' is aborted
*** You can change the emergency value (current value=25.00) by
*** 'control.inla=list(control.vb=list(emergency=...))'
*** Please (re-)consider your model, priors, confounding, etc.
*** warning *** max_correction = 25.01 >= 25.00, 'vb.correction' is aborted
*** You can change the emergency value (current value=25.00) by
*** 'control.inla=list(control.vb=list(emergency=...))'
*** Please (re-)consider your model, priors, confounding, etc.
*** warning *** max_correction = 25.01 >= 25.00, 'vb.correction' is aborted
*** You can change the emergency value (current value=25.00) by
*** 'control.inla=list(control.vb=list(emergency=...))'
*** Please (re-)consider your model, priors, confounding, etc.
*** warning *** max_correction = 25.00 >= 25.00, 'vb.correction' is aborted
*** You can change the emergency value (current value=25.00) by
*** 'control.inla=list(control.vb=list(emergency=...))'
*** Please (re-)consider your model, priors, confounding, etc.
*** warning *** max_correction = 25.00 >= 25.00, 'vb.correction' is aborted
*** You can change the emergency value (current value=25.00) by
*** 'control.inla=list(control.vb=list(emergency=...))'
*** Please (re-)consider your model, priors, confounding, etc.
*** warning *** max_correction = 25.00 >= 25.00, 'vb.correction' is aborted
*** You can change the emergency value (current value=25.00) by
*** 'control.inla=list(control.vb=list(emergency=...))'
*** Please (re-)consider your model, priors, confounding, etc.
*** warning *** max_correction = 25.01 >= 25.00, 'vb.correction' is aborted
*** You can change the emergency value (current value=25.00) by
*** 'control.inla=list(control.vb=list(emergency=...))'
*** Please (re-)consider your model, priors, confounding, etc.
*** warning *** max_correction = 25.01 >= 25.00, 'vb.correction' is aborted
*** You can change the emergency value (current value=25.00) by
*** 'control.inla=list(control.vb=list(emergency=...))'
*** Please (re-)consider your model, priors, confounding, etc.
*** warning *** max_correction = 25.01 >= 25.00, 'vb.correction' is aborted
*** You can change the emergency value (current value=25.00) by
*** 'control.inla=list(control.vb=list(emergency=...))'
*** Please (re-)consider your model, priors, confounding, etc.
*** warning *** max_correction = 25.01 >= 25.00, 'vb.correction' is aborted
*** You can change the emergency value (current value=25.00) by
*** 'control.inla=list(control.vb=list(emergency=...))'
*** Please (re-)consider your model, priors, confounding, etc.
*** warning *** max_correction = 25.01 >= 25.00, 'vb.correction' is aborted
*** You can change the emergency value (current value=25.00) by
*** 'control.inla=list(control.vb=list(emergency=...))'
*** Please (re-)consider your model, priors, confounding, etc.
|..................................... | 84% [unnamed-chunk-34]
GitId: b51fb385728e90bce98ca92b1d8762a2d13f655c - Sat May 18 13:21:08 2024 +0300
Error:12 Reason: The Newton-Raphson optimizer did not converge
Message: Condition `lambda < 1.0 / lambda_lim' is not TRUE
Line:1025 Function: GMRFLib_init_GMRF_approximation_store__intern
Segmentation fault
Killed
/usr/lib/rstudio/resources/app/bin/quarto/bin/tools/x86_64/pandoc +RTS -K512m -RTS Highways4.knit.md --to html4 --from markdown+autolink_bare_uris+tex_math_single_backslash --output Highways4.html --lua-filter /home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/rmarkdown/rmarkdown/lua/pagebreak.lua --lua-filter /home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/rmarkdown/rmarkdown/lua/latex-div.lua --embed-resources --standalone --variable bs3=TRUE --section-divs --table-of-contents --toc-depth 3 --variable toc_float=1 --variable toc_selectors=h1,h2,h3 --variable toc_collapsed=1 --variable toc_smooth_scroll=1 --variable toc_print=1 --template /home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/rmarkdown/rmd/h/default.html --highlight-style pygments --number-sections --variable theme=flatly --mathjax --variable 'mathjax-url=https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js' --include-in-header /tmp/RtmpQjnBgO/rmarkdown-str320ac343c247f6.html --variable code_folding=show --variable code_menu=1
output file: Highways4.knit.md
Output created: Highways4.html